Want to know more about the latest technologies and best practices in Big Data, advanced analytics and machine learning. The big data and advanced analytics field provides plenty of opportunities, but do you know how to capitalize them. Log on here and deep dive into real-world scenarios, use cases and practical tips on how to kick-start a career in one of fastest developing field, data and analytics.

The 3-month Big Data Career series launched by UpX Academy will feature industry leaders talking about big data and analytics opportunities and will field questions on how to build a career path in this next-gen technology, now a de facto industry standard.

In an exclusive chat with Analytics India Magazine, Manvender Singh, CEO of UpX Academy gives us the lowdown on the need of an industry-led career session and why it is the need of the hour.

BGBhaskar Gupta: First of all, a very big thank you for taking out time to speak to our audience. It’s a pleasure to have on-board leaders like you, who like us, very strongly believe in the power and potential of analytics.

MSManvendar Singh: Thank you for having me here. It’s a pleasure to talk to the audience of Analytics India Magazine.

BG: So, we heard that you’re conducting India’s first Big Data Analytics Career Series, a first for the analytics industry in India. Can you tell us about something about this initiative, why you decided to launch it?

MS: This is a series of events taking place over 3 months where we have invited Big Data analytics & Machine Learning thought leaders from some of the marquee companies across the globe. These experts use next-gen Big Data practices and they will talk about the latest techniques and technologies used by organizations to derive business value from Big Data. And, most importantly they will field all the career related queries as well.

Through each session you will gain first-hand information from Big Data practitioners on how big data analytics is put to use in a real-world scenario.

BG: So what made you organize this one-of-a-kind series at such a massive scale?

MS: The whole idea behind conducting this series was that more and more people want to get into this incredibly exciting space. But with the hype, there’s been a lot of misinformation as well and most people don’t know how to enter these fields, given they come from technical and non-technical background. They somehow think that just learning concepts or joining a course will be enough but the reality is different. It’s about knowing what exactly the industry requires.

Through this series, we will address frequent questions like what it takes to build a career in Analytics, what kind of roles does the industry have, can freshers get into this industry, how can working professionals make a career switch to these roles after having say 10+ years of experience. We bring in industry experts just to address these types of questions.

For example, we had recently conducted an industry immersion session with Sandeep Tompala- Senior Manager, Data Consulting at Vodafone India. This session saw a huge turnout and Sandeep shared great insights and also explained the reasons behind Vodafone shifting its data science practice from Pune to Bangalore.

We wanted to have more such events where useful insights like these could reach a greater audience.

BG: Who are the speakers who’ll be headlining this series?

MS: Like I’ve mentioned earlier, these sessions will happen over a duration of 3 months. We have roped in big data practitioners from top companies like Amazon, Amadeus, Barclays, eBay, Facebook, Hortonworks, HP, Microsoft, Twitter, Salesforce and many more.

For example, a Machine Learning Specialist at Microsoft will talk about how Microsoft plans to integrate data in its vision and strategies and also about the kind of products Microsoft is planning to launch in this space.

We’ll have a Big Data expert from Hortonworks, which you’d know is the second biggest company in world that provides big data platforms. This expert will talk about how several companies have been using the platforms at Hortonworks and also about the applications, opportunities and challenges of big data.

We have another very interesting speaker who is a Data Scientist at Amazon. He will be talking about how Amazon uses data analytics to process the thousands and millions of orders that it receives on a daily basis to aid customers in making better purchase decisions.

So these are some of the profiles of the speakers who will be conducting this series.

BG: How do you think attending this series will benefit potential candidates?

MS: We strongly believe in being that academy that gives a great end-to-end learning experience to all our students. Our courses focus on making students learn and practice these technologies hands-on. But with these sessions, our students will get to know how and where this can be applied to in the real-world setting.

Even people who have undergone training elsewhere will benefit from these sessions as they get to successfully connect the dots between whatever they’ve learnt and how it’s actually being used in reality.

And for the newbies who haven’t gotten trained yet, this’ll give them a clear picture as to what it takes to get into these fields

BG: Who can attend these sessions?

MS: These sessions are open for all! Right from college students to industry professionals, in fact anyone who is interested in these hot and emerging fields should attend this career series.

BG: Where are these sessions being held?

MS: The best part of all these events is that they’ll place online. So anyone from any part of the world can attend these sessions! Through this we aim to have a platform where analytics enthusiasts from all over the world get a chance to interact with the industry experts and get all their questions answered.

BG: When will these sessions be taking place?

MS: These interactive events take place over the weekends for 1-1.5 hours. So those who are interested in attending can easily attend these without having to compromise on your schedule.

BG: Would the attendees have to pay something to attend these sessions?

MS: Not at all! These sessions are absolutely free of cost. We believe that the best of the knowledge should be available to everyone!

BG: What makes you conduct these events for free given that these are high-value sessions?

MS: I’ve said earlier too — we exist to provide quality education in big data analytics. Our core mission is to not only educate people by providing courses or training but also make students well-equipped for the industry requirements. We want everyone, irrespective of whether they’ve enrolled with us or not, to benefit from these sessions.

BG: Thank you for your time Manav! It was great speaking to you! We are sure that many of us are excited to be a part of this massive career series and get some great value out of it!

MS: Thank you Interviewer for connecting me to the AIM audience again. We look forward to seeing many of you there.

Register FREE and know more about the upcoming events in Big Data Analytics Career Series.

The post Interview of the Week: Manvender Singh, CEO at UpX Academy talks about India’s first-of-its-kind Big Data Career Series appeared first on Analytics India Magazine.

UpX Academy, in association with Analytics India Magazine, is organizing a free webinar on How to crack Big Data and Data Science roles

Date: 5th March, 2017

Time: 1-12pm IST

Register link: https://attendee.gotowebinar.com/register/8914111682578296834

Session Agenda:

· Why is there so much buzz about Big data, Machine learning, and Data science?
· What is the future of Big data and Data science as a career?
· Which companies are hiring Big data, Machine learning, and Data science experts?
· How to position yourself to crack these roles
· Q&A

Speakers:

Manvender Singh
Founder, UpX Academy
MBA, ISB
An ISB Alum with extensive experience in the education sector, Manvender’s fascination with Big Data Analytics started at ISB. He is the driving force behind the innovative learning model of UpX Academy

Arun Reddy
Chief Instructor, Tableau – UpX Academy
MS, MBA, University of Cologne
Arun has worked on Data Science extensively while working as life science researcher in Germany. He teaches Tableau track in Data Science and is also a career mentor to students at UpX Academy.

Register for free here.

The post Webinar: How to crack Big Data and Data Science roles | 5th Mar, 12-1 PM IST appeared first on Analytics India Magazine.

Robotics is not a latest phenomenon. Since the advent of industrial age, robotics has been part of high-tech industry. Yet, the scope has changed drastically today.

Today, robotics finds usage beyond manufacturing and more towards areas like ecommerce, logistics, retail, healthcare etc. Robotics also has significant overlap with Artificial Intelligence.

Here we list down 10 new age robotics startups in India (in alphabetic order) that are broadening the horizon of what robots are all about.

1. Asimov Robotics

ASIMOV Robotics Pvt Ltd is a single window Solution and Services provider who can meet all robotics/automation needs. They provide engineering products solutions and consultancy in the areas like robotic simulation and control, machine-vision, training, virtual reality, and navigation applications. Their systems/solutions provide the customers a competitive advantage. They have expertise in designing and developing customized solutions to meet specific requirements to maximize profit, maintain quality, reduce risk and to support research.

2. DiFACTO Robotics and Automation

DIFACTO serves a range of industries – automotive, transportation, energy, consumer goods, food and beverages, health and pharmaceutical, defence and aerospace, electronics, and more – for all their robot-based automation needs. DIFACTO’s customers are manufacturing companies, OEMs supplying automated equipment and machinery, robot companies and system integrators/line builders.

3. Grey Orange

GreyOrange is a multinational technology firm that designs, manufactures and deploys advanced robotics systems for automation at distribution and fulfillment centers. They combine expertise in robotics, hardware and software engineering to solve operational inefficiencies in warehouse operations at both third-party logistics vendors as Gridbotsll as companies with in-house logistics functions. With in-house Mechanical, Electrical, Embedded, UI/UX, Software department and quality assurance teams, GreyOrange ensures unquestioned quality of all their products.

4. Gridbots

Gridbots is a young technology and Innovation – Robotics company from India and work in the field of Robotics – Artificial Intelligence and Machine Vision. Founded in August 2007 by young and passionate innovator Mr. Pulkit Gaur [TED Fellow and MIT Young Innovator of the year].

Gridbots today are a team of more than 30 people – Head quartered in Ahmedabad. Gridbots have sales and support offices in Jaipur – Meerut and Faridabad – India. Since inception the company has been growing exponentially both in terms of market share and technological capabilities day by day.

5. I2U2 Robot

i2u2 is a telepresence robotic companion – it allows you to log into it from any compatible iOS, Android, Windows device, and take control of it, from anywhere in the world. Walk, talk and play at home, with the ones who matter, whenever you want, wherever you are.

6. Milagrow

Founded in 2007, Milagrow came into existence with the aim of offering support as a venture catalyst to fill the ‘Management Capital’ need gaps of growth-seeking micro, small and medium businesses (MSMEs). Milagrow diversified into ‘products’ and set up its HumanTech division in the 4th quarter of 2011 with the objective of empowering individuals and families across the globe with technologically humane products, adapting the latest advancements in the field of Robotics, Mobility and Home Automation.

7. Mukunda Foods

Mukunda Foods is and IAN-Investee company that designs and develops products that can make Indian Foods automatically. DosaMatic is one such product from Mukunda Foods that can make multiple types of dosas automatically. DosaMatic can make multiple types of dosas at the touch of a button.

8. Robots Alive

Robots Alive is a robot technology startup based in Bangalore, India focused on the application of robotics / robot technology across various industries. Robots Alive designs and manufactures robotic systems which are custom built for specific applications. Their specialty is to make learning systems which can be smoothly operated without the need of any robotic expert

9. Sastra Robotics

Sastra Robotics India Pvt Ltd is an innovative forerunner in providing cost effective advanced robotics and automation services.

Only three years since its launch, Sastra has leaped huge bounds by collaborating with three other pioneering companies in the same market- Switzerland based Cyberbotics, Korea based Dongbu Robot and US based Corobot. It was deemed possible through the collective efforts of talented engineers, whose passion for robotics is exhibited through their vigorous target: to develop and market high end technologies for wider range applications. Their proficiency and competence paved their way to a smashing entry into the robotics industry.

10. Systemantics

Systemantics is an Industrial Robotics company headquartered out of Bangalore, India. The company is on a mission to enable widespread adoption of flexible automation in industry. With the experience of having implemented custom turnkey solutions for several clients, the company has accomplished several innovations in robotics and industrial automation such as under water robots and walking machines.

Systemantics is focused exclusively on manufacture of high-quality industrial robots with design innovations that facilitate affordable solutions and a faster ROI.

The post 10 Robotics Startups in India that are pushing the boundaries of this area appeared first on Analytics India Magazine.

Education isn’t limited to classroom only. It’s a fact that underscores the Tech Mahindra backed ed-tech startup- UpX Academy’s mantra – online learning further strengthened by industry-based applications and real-world training that prepares candidates for a professional career. Kick-started by Manvender Singh, UpX Academy has three distinct offerings in Big Data and Data Science courses – foundation, specialization and super specialization.

The course duration ranges from 5 weeks -14 weeks covering Hadoop, Spark & MongoDB in the Big Data track and Data Analytics with Python & R, Machine Learning and Tableau under the Data Science track. The courses are priced moderately, starting from 22K for Foundation and going upto 38K for the complete Super Specialization tracks. For candidates wanting to build a career in both, there are combo courses which offer a mix of Big Data and Data Science courses. There are modular courses for students who want to learn individual concepts.

UpX Academy sets itself apart with these major differentiators:

• Being a Tech Mahindra industry-backed course lends credibility and validation. After candidates clear the exam, they earn a certification from Tech Mahindra. The industry-recognized certification will boost placement prospects, encourage higher pay packages and add value to their CVs.
• Deep emphasis on world-class faculty and collaboration with the right academic partners to provide an effective blend of foundational knowledge and real-world expertise. The instructors are alumni of high pedigree institutes such as London Business School, Indian School of Business, IIM Bangalore and IIM Lucknow and have experience from leading organizations such as Microsoft, HP, Flipkart and Salesforce.
• Big Data career series – a series of webinars with noted Big Data Analytics experts from Hortonworks, E-bay, Amazon and Salesforce among others will help in mentorship, impart the best Big Data practices and domain-area knowledge, and equip candidates with the skills required to be successful in data analytics and big data management.
• 24*7 student support is provided to students beyond classroom hours. The student support team comprises experienced research associates with vast technical knowledge in Data Science and Big Data. They help the students in solving their course-related/technical queries & guiding them through projects.
• The program greatly focuses on hands-on learning and includes projects on business cases from top practitioners such as Amazon, Barclays and Vodafone. UpX believes that exposure to real-world problems is the most important part of the program as it makes students industry-ready.
• Peer learning – Students are divided into study groups of 8-10 where students from the same cities are put in the same group. This enables them to solve problems in teams, just like the way it works in the real world. Students can also post their queries on discussion forums and have discussions with the other enrolled students.
• While no institute guarantees 100% placement, UpX Academy has put into place an effective placement assistance program – resume building, interview preparation and industry immersion sessions

Hard Facts

Mode of learning: Online

Class Size: 120

Fee: Starts at INR 22,000

Courses: Big Data and Data Science (Foundation, Specialization, Super Specialization, Combo & Modular)

Credentials: Certification from Tech Mahindra awarded upon clearing the exam

Resources: Cloud Lab access

Register for Free Trial Class here: http://events.upxacademy.com/online-session

Courses

Analytics India Magazine asked the newest entrant on the ed-tech block-UpX Academy- about its concerted focus on two streams only – Data Science and Big Data. Here’s the response, “Big Data is a huge and an emerging field. Today, there exists a definitive skill gap in the market; it is tough to find professionals who match the targeted skills and expertise that are needed in a data-driven environment. That’s why UpX has designed courses that allow students to gain computational knowledge and get some hands-on experience in dealing with Big Data,” shared Singh.

Pegged as specialists in Big Data and Data Science, UpX offers three learning tracks. According to Singh, the courses are always updated to keep pace with the current industry trends.

In the Big Data track, the Foundation course covers Hadoop; the Specialization course covers Hadoop and Spark and the Super Specialization course covers Hadoop, Spark, NoSQL databases like MongoDB and HBase.

In the Data Science stream, the foundation course tackles Data Analytics with an emphasis on Python and R while in Specialization track candidates learn about Machine Learning techniques. The Super Specialization takes care of Data Analytics with R, Python, Machine Learning and Tableau.

In the pipeline are industry-specific courses in Retail, Finance & HR Analytics.

Hands-on Learning

Big Data is all about playing with large volumes of data and projects at UpX let students do exactly that. The project-based courses provide case-studies steeped in real-world, enabling candidates to build analytical and the most in-demand technical skills. Access to cloud lab enables students to work on “Big Data” sets for their projects.

Admittedly, you get to derive insights from real datasets (from Amazon, Airbnb, Twitter, Walmart, etc.) that scale up to 100s of MBs. According to Singh, “While most institutes provide small datasets ranging from 5 MB to 10 MB of data, our Capstone Project data goes up to 100s of MB”.

Some of the case studies in Data Science are:

Finance: Students Building a predictive model based on customer demographics, to decide whether a certain customer is eligible for a loan or not.

Entertainment: Building a recommendation engine like Spotify/Netflix that can auto-suggest songs/movies based on his listening/viewing history.

Retail: Retail has undergone massive change and it is a data-intensive domain. In this case study, students will build forecasting models based on historical store data to inform department-wise sales of Walmart.

Placement Assistance

UpX Academy’s philosophy is to prepare well-rounded individuals who can crack interviews easily. It does this in three major ways – resume building, interview preparation and industry immersion sessions which are its USP. These industry immersion sessions helps students connect with industry experts, learn about upcoming opportunities and how these skills are used on a day-to-day basis in business. UpX Academy provides repositories through which students prepare for technical questions that are asked in job interviews.

Student Speak

“Coming from a testing background, I had no knowledge about Big Data and Data Science before I joined the course. But the course covered all the basics in the foundation stage which helped me easily grasp the advanced concepts in the super specialization stage. The student support team was extremely supportive” says Nigrah, a student of September ’16 batch

Last word

Pros:

UpX’s courses are short, in-depth and pack academic rigor with hands-on learning. As the classes take place over weekend mornings, one doesn’t have to compromise on their work or hamper their schedule. The course is hence ideal for working professionals who want to transition their career and improve their earning potential in a short span of time. Besides this, being an industry-recognized course lends heft and validation.

The integration of real-world application through case studies, exercises and datasets from top companies is a major highlight of the courses.

Another plus of the courses is that students can choose the domain(s) they want to do their projects on (BFSI, e-commerce, entertainment, healthcare, retail, sports, etc.) and be a step closer to working in Analytics in their dream company.

A big feature of the program is the Big Data Career Series that helps put your career on track with industry-immersions sessions from Big Data biggies from Twitter, Facebook, Vodafone, Barclays, PwC, and Zomato among others. Overall, it’s a great fit for working professionals who like to work and study at the same time.

If you are already familiar with the basics of Big Data and Data Science, then you can opt for the specialization/super specialization track that will arm you with the advanced skills.

Cons:

One major downside is that Big Data is an extensive field and requires in-depth training and packing all that information in a short period could be daunting.

Register for Free Trial Class here.

The post In Review: UpX Academy’s Industry-Backed Big Data and Data Science courses appeared first on Analytics India Magazine.

Cypher 2016 saw more than 60 talks from 86 speakers, spread across 3 days and 3 parallel sessions. There was obviously a lot of high-quality content to be consumed in these three exciting, power packed days.

Here we sorted the 10 talks that received highest ratings on our website and Mobile app. There were a lot of other talks that Cypher2016 audience loved, and we encourage you to check all of them out at our Youtube channel.

1. Mohandas Pai – The evolution of the workforce in a machine-augmented and data-driven world

Automation, machine-driven decision-making, and robotics are becoming dominant factors in shaping the demands on the workforce of the future. While a few roles will be eliminated completely, a vast majority of them will have to evolve to contribute value along new dimensions. Data-driven decision-making will become hygiene, and the application of human inference and insight on top of the machine layer will be the new normal.

In a world driven by data, what are the new professional competencies and skill sets? How can companies stay competitive through this transformation? How do we use these technologies to automate redundant roles while creating several new ones? How do we re-skill our existing workforce to stay competitive through this transformation? And how do we nurture a stream of highly specialized talent that can improve business outcomes for roles that we are not able to completely define today?

In this keynote, Mohandas Pai, Chairman of Manipal Global Education Services and Aarin Capital, talks about the specialized workforce of the future where niche skills will be the differentiator, and how companies need to prepare for this path to transformation.

2. Sandeep Mittal – Analytics in Domestic India Market: What makes it different, challenging and ultimately rewarding

We hear there are a few hundred analytics firms in the country, but very few of them choose to play in the Indian market because – and this is the general view – it’s frankly impossible to build a viable analytics business doing work for domestic firms.

Sure. But there’s more to this market than lower gross margins, and as the founder of one of the few players that have firmly planted a flag in the domestic market, Sandeep has plenty to share on what makes this market different, challenging, mind-boggling, and, ultimately, rewarding.

3. Panel Discussion: What’s holding organizations from adopting analytics

Given the amount of visibility analytics has, what’s holding organizations back from being able to adopt analytics and decision sciences? Is there a lack of faith and if so what is causing it? Is it that they cannot find the right skills and tools and service providers? Is it that it’s just too confusing and intimidating a landscape? Or even that the internal culture issues are too daunting to overcome. The panel will dive deep into what organizations stepping into the deep end of analytics adoption need to do to ensure success.

4. SAMEER DHANRAJANI – Mr. Algorithm…The new member in the board room discussing the Algorithm Economy

The future shall have algorithm economy driving the Internet-of-Things where inert machines can communicate autonomously to take actions without human intervention, powered by replaceable algorithms. Autonomous Software that thinks and does. The detachment of smart things from its internal operating algorithm will lead to autonomous machines whose “personality” could be changed at will.

5. Dakshinamurthy V Kolluru – Analytics talent: How to build systematically in your organization

More and more companies are planning to establish analytics profit centers. However, due to the lack of preparedness of tradition university systems, corporates are building analytics talent in an adhoc manner.

In this presentation, we shall develop a grid structure for the analytics competency needs of an organization. We shall identify crucial gaps in the existing talent pool and suggest a framework for an organization to systematically build the competencies.

6. Anshu Sharma – Paradigm Shift in Insurance

These are exciting times in insurance industry across the world. Latest Technologies are playing a key role in its journey ahead. With IoT, blockchain, biotech and Data Science, we are experiencing a paradigm shift in how insurance industry works.

7. Juergen Hase – A unique chance for India to lead Global IoT Market

IoT isn’t a hype, it is already reality. We are talking about 20,000 new IoT connected data points each minute and millions of developers who are already working on new features and services.

Market trends are coming up faster and will not only be local, they are global. To follow these trends and to be in a leading position we have to think in new dimensions. We have to create new ICT architectures, new organization structures, new business models, new forms of partner models and many other things. All together – horizontal and vertical structures, real time, QoS, big data, security and analytics – will create real value for our customer. India has a unique chance to be in a leading position on the global IoT market.

8. Deep Thomas – Applying learnings from matured markets to steer Indian Analytics agenda

Today India is at a cusp in the analytics evolution journey. Superlative economic growth, the emergence of a new breed of millennials and the focus of the Government on “Make in India” are fundamentally changing the economic landscape.

In the midst of these foundational changes, Indian companies are finding out newer and innovative ways of sustaining growth and competitive differentiation. Usage of data driven decision-making and leveraging the power of data for competitive advantage is fast becoming the order of the day. Most companies and business groups are looking at analytics as the new competitive weapon. Charting out the path of future analytics evolution within such dynamic environment is a difficult endeavour. Lessons from the evolution of analytics from matured markets may be one of the many ways for a strategist to hazard a guess into the future. However, in many ways India presents challenges and opportunities, which are quite unique; and suitable parallels may be difficult to find.

9. Viral Shah: Julia – A new language for data science

Julia is a high-level, high-performance dynamic programming language for data science that solves the two language problem.

The two language problem refers to prototyping in one language and deploying in another. Julia combines the ease of prototyping languages such as Python, R, and Matlab with the performance of systems languages such as C++ and Java. As a result, Julia programs can be deployed at scale without the need to be rewritten. In this talk, I will introduce some of the key ideas behind Julia, show what makes Julia fast, and how solving the two language problem is important for data science.

10: Ravi Vijayaraghavan: Analytics for Growth and User Experience at Flipkart

At Flipkart, we have built a highly scalable data infrastructure that is a rich source of information about our consumers, sellers and our supply chain.

The analytics teams leverage this infrastructure to build a deep understanding of our business, its growth drivers and the Indian consumer. This talk will focus of some of our work in this area. It will be a glimpse into some of our solutions to drive business growth and User experience for our consumers and sellers.

The post Top 10 talks at Cypher 2016 that received highest user ratings appeared first on Analytics India Magazine.

It is the leaders at the helm that drive the success of any organization. Adorned with knowledge, experience and expertise, these leaders add value to an organization taking it to newer heights. Rising through the challenges, motivating fellow mates and expanding working opportunities for many more professionals, these leaders are instrumental in all walks of a successful journey of an organization.

Analytics industry too is driven by some of the extraordinary brains, because of whom we see this industry the way it is today.

AIM celebrates 10 such influential leaders from the analytics/ big data/ data science industry every year that have transformed a great deal of how this industry operates. Bringing various ingredients such as impact factor, leadership, analytics evangelism and much more into consideration, we have sorted out the 10 names that have left an impression substantially this year.

Here goes the list in alphabetical order.

10 Most Influential Analytics Leaders in India – 2016

10 Most Influential Analytics Leaders in India – 2015

10 Most Influential Analytics Leaders in India – 2014

Anshu Sharma

Sr Director at AIG Science

Anshu Sharma Raja is a Senior Director and a part of the India leadership team at AIG. In her role, Anshu is responsible to seed and grow the Data Science function in India.

While she has always been a ‘data person’, having designed in-memory algorithms for large financial transaction calculations at top tier investment banks, her first brush with modern day data science was during her time at Goldman Sachs, be it solving problems, presenting the output or looking under the hood of business with the data science lens. She enjoys the journey that at most times starts with wrangling data, applying the right analysis and to most importantly correlating to the business and rendering the results. She is also passionate about creating high performing teams and believes the mantra to their success is to partner with them from step one, identifying the opportunity. She believes that the one of game changer in this space is the ‘platformization’– from data virtualization to Computer Vision APIs being made available, the field is expanding every day and it keeps one competitive.

Anshu has over 19 years of experience, almost all of it in the financial-tech industry. She started her career programming in C++ and has since then taken on roles for leading and managing large programs and product development distributed across multiple geographies for global financial institutions.

Prior to her role at AIG, Anshu was at Goldman Sachs in Bangalore, and was the regional lead for the market data function. She has also worked at Misys and Thomson Reuters.

Anshu is passionate about guiding women returning to technical careers after a break, and mentors young women and men who aspire to have technical careers. She holds a Bachelor of Engineering degree in Computer Science from Bangalore University and has undertaken the Executive General Management Program at Indian Institute of Management in Bangalore.

Atul Jalan

CEO at Manthan

Atul Jalan is currently CEO of Manthan and is permanently, an entrepreneur. It is very unlikely that you would find him not working on something new. His secret sauce however, is imagination coupled with the ability to crank, accelerate and build momentum.

As CEO of Manthan, Atul’s single objective is to keep the spirit of invention and innovation alive at Manthan – a spirit that has seen Manthan go on to become one of the leading contenders in analytics business solutions for consumer industries worldwide. Manthan is Atul’s fourth successful venture after MicroTrack, Cybertrek and Net Kraft. And today, is among the few Indian companies that can boast an analytics portfolio that several Fortune 500 companies rely on.

Atul is a known voice on technology and is sought for his views on analytics and the consumerization of technology by publications and forums worldwide. What is not known though, is that he also dabbles in poetry and takes keen interest in a wide range of subjects from movies to quantum physics. Loquacious and a polymath, Atul can hold forth the camera obscura and Johannes Vermeer as he can on analytics.

Though when he finds the time, he prefers to go skiing with his son. Three-dimensional printing and the uber-personalized era it will drive us into, is his current obsession. And if his maverick, entrepreneurial nature is anything to go by, this could translate into something new. And the bigger and more beautiful it sounds, the more passionate he is likely to be about it.

Debashish Banerjee

Managing Director, Deloitte Consulting India Pvt. Ltd.

Debashish has close to 17 years of experience in variety of actuarial, analytics and data science projects. Most of his contribution is in the advanced analytics, actuarial, risk management, data mining and predictive modeling areas. He started his career with GE and was instrumental in establishing and leading the insurance analytics, pricing and reserving team for GE in India. Arguably one of the first of its kind in India.

He was awarded the most prestigious “Summit Award” by GE. He moved to Deloitte in 2005 with the primary goal to set up the advanced analytics and modeling practice in India. Currently, he is overseeing and providing leadership to the Deloitte Consulting’s Actuarial, Rewards and Analytics practices which focuses on Actuarial and pricing analytics, big data analytics, predictive modeling and data science offerings.

He is a voracious reader and traveler and works closely with the academicians as well as corporates, and because of his publications, he has been invited in many industry and academic conferences across India and USA – the is closely associated with IIM, Ahmedabad and Lucknow, his alma matter at Indian Statistical Institute, Kolkata, CAS and SOA, USA, IAI, and NASSCOM, India to name a few.

He is a nominated member of Board of Studies, ASIBAS and received a Golden Leadership award this year from Amity University. He is also the chairperson of the Analytics Advisory board of the Institute of Actuaries in India. He looks after a few geographies and his clients are in USA, South Korea, Australia, UK and India.

Deep Thomas

CEO at Tata Insights & Quants

Deep is a passionate Data Analytics evangelist with more than two decades of proven track record in delivering sustained increasing profitability through business transformation leveraging Information and Digital capabilities, Advanced analytics, Novel processes, and Multi-Disciplinary Talent.

Deep is currently the CEO of Tata Insights and Quants (Tata iQ), a Big Data company that is incubated as the Tata Groups’ Analytics and Data powerhouse.

Prior to this; Deep has held various key positions in US and India with multinationals like Citigroup, HSBC and American Express to steer Global agenda and leverage the power of data to its fullest potential. However, his passion and desire to bring his experience to help Indian organizations unleash business value through the application of advanced analytics led him to take over the top seat at Tata iQ. Deep believes that the “time is now” to make intelligent analytics happen in India and under his leadership, Tata iQ is one of the front-runners in spearheading this change.

Deep is also an active speaker and panelist at leading Data science conferences both in India and abroad. He is a Computer Science graduate with an MS in Information Systems and an MBA in Marketing from Arizona State and holds numerous patents in Decision Science and Information Management.

Pradeep Menon

Global Analytics & Data Leader at GE

Pradeep currently leads the global analytics & data COE across the 6 GE Digital Hubs worldwide. The COE handles work across all the GE BUs in the areas of data sciences, BI/data visualization, business/decision analytics, data engineering, machine learning, artificial intelligence and data analytics on GE’s Predix IOT platform. The location footprint is spread across offices in India, Hungary, US and Saudi.

Prior to that, he led the global analytics organization for the Maersk Group based out of Mumbai and having GSC sites across India, Philippines and China. He oversaw analytics strategy, transformation and delivery across multiple business units in the organization across the shipping and energy industries.

Prior to Maersk, Pradeep led an organization at Dell dealing with the analytical aspects of product management, pricing & competitive intelligence based out of Bangalore. The team supported all of Dell’s global product brands. He was a product of Dell’s SPEED executive development program. He has had stints managing data and BI organizations at Honeywell and Oracle Consulting in the initial years of his career.

A mechanical engineer and an MBA from VJTI, Mumbai and SJMSOM, IIT Bombay respectively, he is a keen follower of the block chain space and is a fairly well known and active participant in industry and academia based events.

Prithvijit Roy

CEO at Bridgei2i

Prithvijit Roy is the CEO of BRIDGEi2i Analytics Solutions, one of the fastest growing Analytics solutions firms, featured in Deloitte Technology Fast 50 list for the last two consecutive years and also mentioned in Gartner Market Guide for one of their technology accelerators, Sales Decision Engine.

Prithvijit has a unique experience of playing a leadership role in incubating and building three of the largest and successful analytics centers in India – First at GE / Genpact, then at Hewlett Packard and last but not the least, at BRIDGEi2i. He co-founded BRIDGEi2i in 2011 and has kept a sharp focus on business problem solving and driving value through data based decision-making. This has helped the firm scale up significantly.

Today, it works with over 20 Fortune 1000 global clients in solving their challenges that might range from efficiency and growth initiatives to organizational digital transformation efforts. He led the team in leveraging their strong data engineering capabilities, driving insight generation through their advanced algorithms and machine learning techniques and by bringing the solutions back to the businesses through their technology accelerators or their managed analytics solutions.

He believes that analytics will not only drive business transformation but also solve social problems, enabling people to live better lives. He recently helped launch the community of Humans of Analytics as an initiative to celebrate the people who make this industry what it is today.

Rajendar R B

Senior Vice President – Risk Analytics at HSBC

RB Rajendar is the Senior Vice President & Head of Risk Analytics for Retail Banking & Wealth Management Business of HSBC at the Global Service Centre in Bangalore. Rajendar joined the Bank in 2014 and is a part of HSBC’s Global Analytics Leadership team contributing to Analytics Strategic Direction.

Rajendar has more than 22 years’ experience in the financial services industry and has progressed his career within the Risk Analytics & Management, Strategic Marketing, Market Research and Business Development areas. Rajendar is passionate about building high-performance teams and analytics capabilities and competencies among his employees. Over the course of his career Rajendar has set up Analytics Practices; and has specialised in Data Modelling and Marketing Sciences, Risk Management, Operations Analytics, Digital Analytics, Big Data, Market Research, Qualitative Research and Investment Research.

Prior to HSBC, Rajendar has worked for Fidelity Investments, Genpact, GE Process Solutions (USA), HSBC Credit Cards (USA), HSBC Auto Finance (USA), GE Capital International Services, Standard Chartered Bank and BPL Ltd. Rajendar has a Master of Science in Industrial Engineering and Operations Research from Mississippi State University, USA and a Bachelor’s in Electronics and Communications Engineering from University of Mysore, India.

Sameer Dhanrajani

Chief Strategy Officer at Fractal Analytics

Sameer Dhanrajani is a distinguished, well-recognized analytics and data sciences leader and visionary known for his deep knowledge, innovation and topical understanding across all genres of analytics and data sciences space. His consistent penchant to spot global analytics trends and relentlessly curate best of breed strategic analytics consulting, services, solutions frameworks, methodologies have been remarkable. Under his able leadership, Cognizant Analytics & Data Sciences today is recognized as a leading player in the marketplace with exemplary broad based offerings in analytics and data sciences consulting, solutions and platforms serving global clients across multiple industries. With 20 years of progressive and well-rounded professional experience, Sameer has donned various leadership roles in his work tenure. Prior to Cognizant, Sameer was the Country Head for Fidelity National Financial. He has been recipient of “Outstanding Leadership Award “ at India Human Capital Summit and “Exemplary Leader Award” at Asia Pacific HRM Congress.

Sameer is core member of NASSCOM Analytics Special Interest Group, ASSOCHAM Digital Council and is also an advisor to Telangana government in setting up data analytics policy and ecosystem in Hyderabad. He is a regular speaker at global conferences and has been quoted across multiple business publications. He is a well-known contributor in the academic space and is a trusted industry advisor to multiple academic universities and institutes. Sameer is a prolific blogger and influencer; his blog post “Demystifying Digital, Data Analytics and Decision Science “ is a trendsetter. He is the first professional in India to deliver TED talk on analytics.

Sandeep Mittal

Managing Director at Cartesian Consulting

Sandeep is the founder and MD of Cartesian Consulting, one of India’s leading analytics services firms with 5 offices spread across India, Singapore and USA. An alumnus of IIM Calcutta, Sandeep and his team are gaining prominence in the market for bringing Data Sciences and Machine Learning to brands who want to leverage their data for customer value, and for their impact obsessed analytics consulting work. With 17 years of experience advising clients across geographies and industries on their analytics and customer needs, Sandeep is considered an exceptional leader in the industry who leads from the front, is closely involved in client engagements, and is the go-to person for new thinking and perspective. His new areas of focus are around building AI tools for marketing, and these efforts have already led to award winning work around AI aided Email Marketing.

Sandeep has worked across multiple industries (Retail, Financial Services, Hospitality, Telecom, Education, Tech) and is a strong proponent of Segment of One thinking. He speaks regularly at industry and academic events, is considered an exceptional leader in the industry and was awarded “Big Data Founder/ Entrepreneur of the Year” at the 2016 Big Data summit.

An entrepreneur and a person who wears many hats, he founded his first firm whilst still in college, founded and ran an underground online magazine on rock music in India, plays and records music, and writes and draws a webcomic series.

Sanjay Srivastava

Analytics leader at American Express

Sanjay is currently Analytics leader at American Express. He leads analytics and reporting teams supporting Merchant business across geographies. He has 18 years of diverse experience in Analytics domain and brings rich cross industry perspective.

Sanjay is passionate about leveraging analytics to solve business problems and deliver tangible value. He believes in democratization and adoption of analytics and has led organization wide initiatives to this effect. He is an invited speaker in academia and industry forums and is a recognized thought leader.

Prior to his current role, Sanjay set up DELL’s Marketing and Sales Analytics Centre of Excellence and scaled it to one of the largest amongst captive setups in the country. He was instrumental in building advance predictive, digital and customer centric analytical capabilities. Sanjay held strategy and analytics positions with Jet Airways where he set up network optimization and fleet management systems to leverage power of analytics. Before that, at Engineers India Limited, Sanjay drove business transformation initiatives using Information management and data modeling.

Sanjay is a founding class alumnus of the Indian School of Business (ISB), Hyderabad and holds B- Tech in Mechanical engineering from IIT- Roorkee. Outside of work, Sanjay enjoys running and is a regular on the marathon circuit.

The post 10 Most Influential Analytics & Data Science Leaders in India – 2017 appeared first on Analytics India Magazine.

Courtesy: Sandeep Mittal

The post Toon: Strangely Convergent Professions appeared first on Analytics India Magazine.

With data becoming increasingly central to businesses, businesses are betting big in zeroing down on the right talent. Lucre aside, analytics has become central to running enterprises efficiently.

Amidst the sheer volume and the variety of data generated, what organisations are looking at is a well-structured data and findings in a consumable format that makes some sense.

Organizations want to hire professionals who can not only slice and dice, but communicate their findings effectively to senior leadership as well. This is where the all-time high demand for analytics professionals comes in.

Analytics India Magazine in association with AnalytixLabs presents the annual, comprehensive Analytics India Salary Study 2017 that gives peek into the various aspect of salary structure for every professional who wants to makes a head-start in this industry.

Download the report to get to know the in-depth salary trends across various sectors, skills, tools and domains.

Read last year’s report here

Key Trends- 

• The average analytics salary in India for year ending 2016 was INR 11.7 Lacs across all experience level and skill sets.
• This is the highest average salary for analytics professionals ever, with almost 22% increase since a year ago. Average analytics salaries in 2016 were 9.5L.
• Though overall the number of analytics professionals increased last year, the percentage of professionals with salary in 0-6L band decreased from 42% to 39%. There has been visibly more demand for senior professionals last year, thus pushing the average salaries higher.
• On one hand, the percentage of Analytics professionals commanding salaries less than INR 10 Lacs has gone; % of Analytics professionals earning more than INR 15 Lacs has increased from 33% in 2016 to 37% in 2017.
• Analytics professionals with salaries in extreme bracket of 50+L have increased significantly this year – to 3.7% from just 1.1% a year ago.

Analytics Salaries vs other Domains-

• On average, analytics professionals receive around 30% higher salaries than IT professionals in India.
• While, the average salaries of Analytics professionals stand at 11.7L, that of IT professionals is at 8.65L, of professionals in Primary Research is 9.03L, Financial research at 8.96L and that of Secondary research is 7.83L.
• Just 39% of analytics professionals have salaries under 6Lakhs vs 58% in IT.
• 28% analytics professionals in India earn in the salary bracket of 10-25L. This number for IT professionals is 17%.

Salary Trends across Tools & Skills-

• Advanced analytics/predictive modeling professionals are paid the highest salaries compared to their analytics peers i.e. 14.7 Lacs on average.
• Big data professionals and data mining professionals get up to 13 Lacs & 9.9 lacs on average.
• BI, Reporting , MIS professionals get upto 8.3 Lacs on average and data engineer an average of 11.5 Lacs.

• Within Big data profiles:
  1. Hadoop professionals command an average of 12 Lacs. The salaries increased by around 21% since a year ago of 9.9L.
  2. Spark professionals command an average of 10.1 Lacs with an increase of almost 15% from a year ago of 8.8L.
• NoSql/ MangoDB professionals receive an average of 11.5 Lacs, a slight increase from 11.1L since a year ago.
• Qlikview professionals command marginally higher than Tableau professionals in visualization skill jobs – 12.1 Lacs vs 11.7 Lacs on an average. Visualization tools salaries have increased around 28% since a year ago.
• Within Advanced Analytics profiles:
  1. R programmers receive the highest average salaries this year in adavcned analytics tools skillset – at 11.1L. R have defeated SAS, SPSS and Python in terms of average salaries this year.
  2. On an average, professionals get up to 10.3 Lacs for SAS, vs 8.7 Lacs for SPSS professionals. SAS salaries have increased by just 13% since a year ago.
  3. Python gets a higher pay of 10.5 Lacs compared to SAS and SPSS. Yet, Python is the only skill set for which the average salaries have decreased since a year ago – by almost 7%.

Salary Trends across Cities- 

• Average salaries across all cities have increased by more than 20% for analytics professionals this year.
• Pune saw the highest increase in analytics salaries by almost 30% – from 8.8L to 11.4L this year.
• Mumbai retails its spot for highest salaries in Analytics at almost 14L per annum – an increase of 22% from a year ago.
• In the 0-6 Lacs bracket, Hyderabad dominates other cities with 42% of analytics professionals earning below 6 Lacs followed closely by Pune at 39%.
• Mumbai leads the pack in more than 15L salary bracket, with 28% earning within this bracket, followed closely by Bangalore (25%) and Delhi/NCR(22%).

Salary trends across Experience levels-

• Analytics salaries saw the biggest jump at the entry level (0-3Yrs experience) last year. There was almost a 61% jump in salaries in this experience bracket – from 4.1L to 6.6L average.
• At entry level, almost 76% of analytics professionals are under the 0-6 Lacs salary bracket.
• For other experience brackets, the salary increases have been relatively lower, especially at higher experience bracket – at 12+ years experience, the salary rises in analytics have just been 4% last year.
• A transition to senior analytics leaders, with more than 12 years of experience, can lead to almost 50% increase in salaries.

Salary trends across Company Type-

• This year, Captive Analytics centers tend to be highest salary providers in analytics, at an average of 14.1L.
• They were followed by Consulting firms at 13.9L and Domestic firms at 13.6L analytics salaries on average.
• However, Boutique analytics firms continue to pay the lowest – an average of 9.5L, albeit a 20% hike from last year of 7.9 Lacs.
• Large IT service providers pay 11.4 Lacs in analytics, an increase of 20% from 9.5L.
• Domestic Indian firms have been the slowest in increasing the analytics salaries last year. They currently pay an average of 13.6L, an increase of just 13% to their analytics/ data science teams.

Conclusion-

From large enterprises, captive analytics businesses, boutique analytics or consulting firms, the demand for quality data analysts is met with a lucrative pay.  With data analytics driving all the component of an industry, the companies are open to offer more than decent pays to these rare breed of professionals. The compensations have seen a positive trajectory and have gone north in where skills are backed by experience. If you are trying to break into this field, now is the best time, especially when data analytics professionals snap 30% higher salaries than IT professionals in India

And like previous year, Hadoop, R, Spark and Python remain the most sought after tools by the employers, with a better pay package to those with advanced analytics/predictive modeling skills compared to data mining and BI tools.

Overall, the study, a great analytics find is a nudge in the right direction and will fuel hopes of making a career in analytics domain.  

Here’s the complete report

Download it here

The post Analytics India Salary Study 2017 – by AnalytixLabs & AIM appeared first on Analytics India Magazine.

With Analytics Leaders outlook study, we aim to get a pulse of overall sentiment around analytics and data science industry in India. Sentiment surveys are always an early indicator of how an industry is going to fare in coming years and we have been doing to this in-depth survey since last 3 years.

This year, we surveyed 47 analytics leaders; ranging from Chief Analytics Officer, head of Data Science, Director & VP’s of Analytics; extensively on how they predict their own organization on hiring plans, growth areas, strategic decisions etc.

Here are the results of the study.

Business Confidence

All respondents expect the demand of Analytics at their organization to increase over the next 12 months. Thus, the sentiment outlook within the industry continues to be at a high. This result is consistent from last year.

Next, we asked the leaders to rate on a scale of 1-10, if they are confident on analytics being a key focus area for organizations globally over next 12 months –

• 36% leaders gave a perfect 10/10 score. This is lower than 47% from 2016 and consistent with 36% from 2015.
• Just 1 respondent gave a score of less than 7 out of 10
• Average Confidence score was 8.7/10; lower than 9.0/10 in 2016 and in-line with 2015 score of 8.6/10.

• Also, we computed the Net Sentiment Score (Calculated as difference of % respondents with score of 10s & 9s and % respondents with score from 0 through 6s), at 51%.
• Though this is lower than the 61% score from 2016, it is still an extremely high score by all measures.
• Net Sentiment Score in 2015 was 49%.
• Overall, Analytics leaders in India exhibit a strong positive outlook towards the industry this year.
• We did a similar outlook study for IoT leaders in India. The sentiment score for IoT Industry currently is much lower at 27%.

• 87% of decision makers plan to increase their analytics workforce in next 12 months. This is lesser than 94% from 2016 and 96% from 2015.
• 13% leaders say that they have no hiring plan for the coming year.

Key Challenges

• ‘Unavailability of Analytics Talent’ continues to be the biggest challenge faced by Data Science Leaders in India.
• 66% decision makers believe that ‘Unavailability of Analytics Talent’ is the major challenge that they face. The percentage is almost same from 2016 and 2015 at 69% and 66%
• 45% of leaders believe that ‘Little knowledge of analytics among customers’ is a major challenge for them. This is the biggest change in challenges since last 2 years.
• In 2016 & 2015, almost 60% analytics leaders claimed to face the challenge of consumers (internal or external) to not understand analytics well. The knowledge among analytics consumers has great increased in last year.
• Few leaders are wary of competition; just 15% believe it’s a challenge for them (up from 12% last year).
• The biggest change came in how leaders perceive the demand of analytics. Only 13% believe that analytics demand has peaked, as opposed to 4% last year.
• Other challenge that Leaders spoke about this year is on lack of innovation around data science offerings in India. It has also been pointed that there is an ‘emphasis on looking good’.

Growth Area

We asked our respondent on what according to them are the biggest growth industries for analytics in next 12 months.

• ‘IOT / Sensor/ Predictive Maintenance’ continues to be the top area of growth in analytics. 66% respondents believe this to be the top growth area, which is in line with 2016 results of 69%.
• ‘Digital/ Online/ Mobile/ Social’ follows at 55%, down from 67% in 2016.
• ‘Big Data/ Database Management’ sees the biggest drop in outlook since last year. In 2016, 1 in 2 leaders saw this space to be a growth area. Today, just 1 in 3 analytics leaders in India expect ‘Big Data/ Database Management’ to be growth area in next 12 months.
• On the contrary, ‘HR/ Talent/ People’ has increased in outlook from 20% in 2016 to 32% in 2017 as growth areas.

Key strategic decisions 

We asked our respondents on the key strategy decisions that they plan for the coming year in order to grow their business.

• 64% analytics leaders plan to collaborate with external partners.
• 64% are planning to grow their existing offerings.
• Just 11% plan to look for external financing in the coming year.

% of Advanced Analytics

We asked an added question, on how the analytics organizations for these leaders are composed in terms of executing advanced analytics projects. We asked our respondents the percentage of work in their organization that involves advanced analytics.

• Analytics leaders claimed that in 2017, 41% of the analytics work is in the area of Advanced/ predictive analytics/ modeling. This is higher than 38% in 2016.
• The biggest bucket comprised of 10-25% advanced analytics work i.e. 26% respondents claim that the percentage of advanced analytics work in their organization as compared to other analytics work is in the range of 10-25%. This is higher from 2016 of 20%.

Respondents’ Profiles

The post Study: Analytics & Data Science Leaders Outlook in India – 2017 appeared first on Analytics India Magazine.

2017 was predicted to be sluggish in terms of job roles, appraisals and hiring and it appears that the predictions are turning out to be true. With the recent news on Cognizant planning to fire 6000 employees and Infosys ‘releasing’ 9000 employees earlier this year, IT in India is not at its glorious best.

Is Automation At Fault?

While automation has been called out for massive layoffs and job-role shifts across the IT sector, the real reason is the huge gap between the evolving technologies and the skillsets available with today’s workforce. That being said, as more companies adopt modern technologies, the skills gap is increasing – pointing at massive layoffs and obsoleteness.

Reskill & Upskill

The only solution for the plagued IT sector is a massive overhaul. The workforce needs to reskill and upskill to meet emerging technology needs.

Jigsaw Academy, in collaboration with the University of Chicago’s Graham School, has launched the Integrated Program in Data Science and Machine Learning.

Integrated Program in Data Science and Machine Learning

The program is designed keeping in mind the needs of young IT professionals who need to upskill or become obsolete. To bridge the need of skilled pool of data scientists, the joint program by the University of Chicago Graham School and Jigsaw Academy, the course features:

• Comprehensive curriculum designed by UC academicians and analytics experts from India
• International lectures from the University of Chicago
• Access to Jigsaw Academy’s cloud lab
• Certificate in Analytics from the University of Chicago and Jigsaw Academy

The Curriculum

The course curriculum covers essentials of data science and machine learning, data science and visualization, R for data science, data mining, data analysis for evidence-based decision making, industry applications, Big Data analytics with Spark and more.

The program also includes capstone projects and assignments, where students, after the completion of the course, will understand the length and breadth of analytics, understand and correlate data science problem statements with business requirements, design data science solutions, know the application of project management skills to data science and use globally used data science tools.

About The University of Chicago

The University of Chicago has always been home to innovation and by collaborating with Jigsaw for this course, the focus is primarily on bringing latest advancements in analytics and help professionals grow in their careers. With programs like this, India can move beyond a hub for outsourced projects and become a preferred destination for all things data.

Program Details

This blended learning program will be conducted in a hybrid fashion with classes being conducted online and in person in Bangalore. Click here to learn more about the program. For further details, call on +91 90199 87000 or drop a mail to idm@jigsawacademy.com.

The post University of Chicago to Train the Next Generation of Data Scientists in India appeared first on Analytics India Magazine.

MATLAB EXPO 2017, one of India’s premier events for India’s research and engineering communities will be hosted in Bangalore, Pune and Hyderabad by MathWorks India. The EXPO will feature presentations and workshops by MathWorks technical professionals and customers. Over the last seven years, this conference has served as a stage for engineers, scientists and researchers to meet, converse and learn about cutting-edge product capabilities in MATLAB and Simulink.

The annual conference will bring together engineers and scientists to learn new technological advancements and industry trends along with updates on MATLAB and Simulink. The featured speakers for this year’s conference will include Kishore Rao, Managing Director of MathWorks India, Prashant Rao, Technical manager of MathWorks India and Jim Tung, Fellow member of MathWorks amongst the others.

Jim Tung, Fellow member of MathWorks will present the keynote on “How to Build an Autonomous Anything” where he will discuss about how using MATLAB and Simulink, engineers and scientists are combining massive amount of data, computing power and diverse set of algorithms to build autonomous technology in products and services today.

EXPO will feature key industry players including Robert Bosch, Tata Motors, IFB, TAFE, Philips

For the detailed agenda, visit www.matlabexpo.in.

WHEN:

WHERE:

About MathWorks:

MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multi-domain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate the pace of discovery, innovation, and development in automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. MATLAB and Simulink are also fundamental teaching and research tools in the world’s universities and learning institutions. Founded in 1984, MathWorks employs more than 3500 people in 15 countries, with headquarters in Natick, Massachusetts, USA.

For additional information, visit mathworks.com.

The post Mathworks India to Host MATLAB EXPO 2017 in Bangalore, Pune and Hyderabad: 20-27th April 2017 appeared first on Analytics India Magazine.

“Cypher 2017” – India’s largest and most exciting analytics summit of the year is set to take centre stage on September 21-23. Like the previous two editions, it promises to bring enterprises, academia, industry doyens and innovators together at one platform.

One of its kind event, Cypher 2017 would give the industry an excellent networking opportunity with more than 100+ speakers from the leadership, 200+ companies and 500+ delegates who would make it to the participation list like the last year. Cypher 2016 saw 185 leading players from various industry patrons from captives, education providers, analytics product company, solution providers and more. Talking about participation by various designations, it would see a hands-up from data scientists to managers, senior managers, CXOs, Directors, Head of business units and more. Get ready to mingle with them and draw strategic insights on maximizing business impact.

That’s not all; 70+ talks on the disruptive technologies that are defining the current analytics space would be a major traction point at Cypher 2017- Data Science, Artificial Intelligence, Machine Learning, IoT, to name a few. There was never a better platform to realize maximum value from data and to discuss on various issues concerning the analytics industry.

15+ workshops at Cypher 2017 would come as an excellent medium to get hands-on experience on new technology platforms led by industry experts. Gain exclusive insight on industry relevant topics from senior data and analytics leaders. Connect with peers, discuss day-to-day business challenges, dig deep in interactive sessions, find analytics solutions, and explore trending products and services that the industry is offering.

The three-day event is set to provide a complete networking platform to attendees and registering high engagement from all across the country. It is intriguing to note that last year saw 50% of participation from outside Bangalore.

Data Science Excellence Awards, that recognizes the best in the data science world, All hands networking gala dinner, other competitions and activities are going to add the fun flavour to the summit, making it a unique experience for all the attendees at Cypher 2017.

Don’t miss the chance of being a part of the largest and the most exciting analytics summit in the country!

Dates: 21-23rd Sep, 2017

Venue: Hotel Park Plaza, Bengaluru

Website: www.analyticsindiasummit.com

For more details, write to info@analyticsindiamag.com

Or

Call Pradeep at +91-9632533477

The post Cypher 2017 | Analytics India Summit | 21-23rd Sep | Bangalore appeared first on Analytics India Magazine.

One of the earliest entrants in the analytics education space and one of the country’s leading business schools, Praxis Business School has been consistently ranked among the Top 10 analytics courses in India. Praxis kick-started the Post Graduate Program in Business Analytics in 2011, four years after the business school was set up, with an objective to “fulfill the industry requirement of analytics-trained resources – who would, in due course, shape the future of the nascent and ever-evolving analytics field”.

The Praxis program, with its unique offering of a full-time, in-class, comprehensive one-year program with complete campus placement responsibility, has grown to comprise two campuses, Kolkata and Bangalore, and two intakes per year, January and July, at each campus. In addition, in a rare honour, Praxis has been selected by the Andhra Pradesh Government to manage and run its Business Analytics program at the International Institute of Digital Technologies, Tirupati and has already started the first batch in February this year,

We spoke to the driving force behind the business analytics program at Praxis – Prof. Charanpreet Singh, the Founder of Praxis Business School, and Dr. Prithwis Mukerjee, the Program Director

Praxis is a young institute and will be completing 10 successful years this July. ‘It’s been a roller-coaster ride for the first few years as we strove to find our bearings in this highly competitive business management education domain,’ said Charanpreet Singh. ‘We stuck to our fundamentals – of being close to and addressing the needs of our two sets of customers – the students and the industry and it seems to have paid off. So at this point in time we feel that our approach has been vindicated – but the journey continues and we hope to touch and improve more lives.’

Praxis took a lead in adding Analytics to their portfolio of courses, and have enjoyed the early mover advantage in this field. When asked about the trigger for starting a program in Analytics, this is what Charanpreet Singh had to say:

‘The addition of the Business Analytics program to our portfolio is the result of our deep relationships with the industry and our willingness to listen to our industry friends. A couple of industry well-wishers suggested that we start a program in Analytics as the demand for professionals in this area was poised to skyrocket and there were no formal channels for recruitment. We saw analytics as a good vehicle to differentiate ourselves in the business education space.’

Prithwis Mukerjee lists four reasons for Praxis’ continued success:

1. A comprehensive, contemporary curriculum that addresses the three pillars of techniques (& tools), technology and business understanding.

1. A crack faculty team that ensures,

1. Effective pedagogy (with a mix of lectures, case discussions, projects, labs) and
2. A high quality of in-class engagement

1. A stimulating student community – people from diverse geographies, backgrounds. industries and aspirations. A strong peer group is a priceless asset for any program.
2. A well-established campus placement program that helps students get their first job in the analytics domain

Courses are built on great content – Praxis’s PGP in Business Analytics keeps pace with industry demand. Our research shows that a lot of aspirants choose Praxis because of the coverage of its curriculum and the clear perception that it is updated continually

‘The initial content has been created with industry collaboration from ICICI Bank and PwC, our knowledge partners’, says PM. ‘The faculty team at Praxis comprises professionals with considerable industry experience – it keeps itself abreast of the latest industry developments and keeps upgrading the curriculum accordingly. Our industry partners play the roles of an advisor as well as a soundboard for any changes that we may plan. Other mechanisms include recruiter and alumni feedback. So we end up teaching what the industry wants as opposed to what the teacher is already comfortable teaching!’

‘Class-room discussions are backed up by real-world case studies with publicly available data and a Capstone project. This gives the students a chance to benchmark their solutions against global leaderboards. Statistics and Machine Learning continue to form the backbone of the program,’ shared Dr. Mukerjee, ’but about 25% of the curriculum undergoes changes every year’.

Praxis is one of the very few institutes that take ownership of placements making it an attractive option for people seeking their first break in analytics. It runs a comprehensive campus placement program, with a process in place to match skills with industry requirements.

Charanpreet Singh explained the reason behind opting for this model: ‘The expressed objective of the program at Praxis is to enable an aspirant to get his/ her first job in Analytics – and, as a natural corollary, add to the pool of Analytics- trained resources. More than 80% of our students leave promising, stable jobs in good companies to join our program, after making it through a fairly rigorous selection process. We believe that it is only fair that we put a robust process in place to enable us to create superior career opportunities for the students.

We also believe that placements are not a stand-alone activity. It is a natural fallout of doing the right things – so if we have the right curriculum, pedagogy, student profile and placement process in place, placements will happen. We have provided placements to more than 90% of our students, batch-on-batch, so far.’

As organizations become more data-centric, and technology takes massive strides forward, making it easy and possible to access, store, analyze and visualize different types of data, the requirement for professionals trained in this science is poised to grow larger. No wonder, therefore, that there is mushrooming of courses – with a variety of content, duration, delivery models. How does one decide on a course design and then measure the success of a program like this?

‘We have a very clearly defined target audience – people who want to make a transition to the analytics and data science domain and make this their career,’ says Charanpreet Singh. ‘Given the breadth and complexity of this science, this requires a deep dive into the concepts, tools and techniques. We are convinced that the only way to do this is to engage aspirants in a rigorous, in-class, full-time program. Remember, we own the campus placement piece as well – so we need to ensure our students are well-trained before they face recruiter interviews. On-line and hybrid courses play a critical role as well – but for different target audiences’.

We have a simple outcome-based measure to assess the success of our program – says Prithwis Mukerjee. It is the level of acceptance of our students by recruiters, followed by repeat purchase – i.e., do the companies who have recruited once, come back for the next batch? A second measure is alumni performance – we keep in close touch with our alumni and follow their progress. Partly because of our training, and partly because of the high demand for analytics professionals, our alumni have grown considerably in their careers in the last 5 years or so. And finally, if we grow our numbers year on year and batch on batch, something must be going right! A large majority of our new applicants talk to the alumni before joining – and the alumni have been consistent in endorsing the program strongly to whoever reaches out to them.

Praxis debuts Business Analytics program at IIDT, Tirupati

As part of Andhra Pradesh government’s commitment to making AP a technology hub, Praxis Business School has been selected as the “Academic Partner by the Government of Andhra Pradesh” to deliver the one-year full-time postgraduate program in Business Analytics at the International Institute of Digital Technologies (IIDT), Tirupati, an institute established to be the digital and innovation centre for next-gen technologies. The first batch commenced classes on February 20 this year.

“It is a huge recognition, at the highest level, of the quality of work Praxis has done in the field of Analytics and Data Science, and an inspiration to continue to excel. With this, Praxis now has its footprint across Kolkata, Bangalore and Tirupati,” shared Prof Singh.

Here’s the role Praxis Business School will play in mentoring, guiding and partnering with IIDT in creating and delivering world-class training programs:

So where does the Praxis Analytics story go from here?

Charanpreet Singh: To start with, we need to consolidate and continue to be at the bleeding edge in terms of content, delivery and placements. There will be a continual effort to enhance the real-world project component so that students get more hands-on practice. We are viewing growth in a couple of ways – extending our footprint to other cities; and offer our academic expertise to emerging institutes that wish to run programs in analytics and data science (the IIDT model). Moving forward, as this domain evolves further, and the batch-size becomes larger, we can certainly envision technique-specific and vertical-specific (healthcare/ retail/ BFSI analytics).specializations. We are increasing the breadth of our offerings by launching week-end and on-line programs for time-poor working professionals. We are committed to creating well-trained professionals and serving the analytics industry needs.

The post In Review – PGP in Business Analytics at Praxis Business School appeared first on Analytics India Magazine.

Github has become the goto source for all things open-source and contains tons of resource for Machine Learning practitioners. We bring to you a list of 10 Github repositories with most stars. We have not included the tutorial projects and have only restricted this list to projects and frameworks.

1. Tensorflow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit.

TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.

2. scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

The project was started in 2007 by David Cournapeau as a Google Summer of Code project, and since then many volunteers have contributed. It is currently maintained by a team of volunteers.

3. Keras

Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

Use Keras if you need a deep learning library that:

• Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
• Supports both convolutional networks and recurrent networks, as well as combinations of the two.
• Runs seamlessly on CPU and GPU.

4. Apache PredictionIO (incubating)

Apache PredictionIO (incubating) is an open source machine learning framework for developers, data scientists, and end users. It supports event collection, deployment of algorithms, evaluation, querying predictive results via REST APIs. It is based on scalable open source services like Hadoop, HBase (and other DBs), Elasticsearch, Spark and implements what is called a Lambda Architecture.

5. Tesseract

Tesseract has unicode (UTF-8) support, and can recognize more than 100 languages “out of the box”. It can be trained to recognize other languages.

Tesseract supports various output formats: plain-text, hocr(html), pdf.

Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998.

In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.

6. MXNet

MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines.

7. WaveFunctionCollapse

This program generates bitmaps that are locally similar to the input bitmap.

Local similarity means that

• (C1) Each NxN pattern of pixels in the output should occur at least once in the input.
• (Weak C2) Distribution of NxN patterns in the input should be similar to the distribution of NxN patterns over a sufficiently large number of outputs. In other words, probability to meet a particular pattern in the output should be close to the density of such patterns in the input.

8. Pattern

Pattern is a web mining module for Python. It has tools for:

• Data Mining: web services (Google, Twitter, Wikipedia), web crawler, HTML DOM parser
• Natural Language Processing: part-of-speech taggers, n-gram search, sentiment analysis, WordNet
• Machine Learning: vector space model, clustering, classification (KNN, SVM, Perceptron)
• Network Analysis: graph centrality and visualization.

It is well documented and bundled with 50+ examples and 350+ unit tests.

9. Natural Language Toolkit (NLTK)

NLTK — the Natural Language Toolkit — is a suite of open source Python modules, data sets and tutorials supporting research and development in Natural Language Processing.

10. Swift AI

Swift AI is a high-performance machine learning library written entirely in Swift.

Swift AI includes a set of common tools used for machine learning and artificial intelligence. These tools are designed to be flexible, powerful and suitable for a wide range of applications.

The post 10 most popular Machine Learning Projects on Github appeared first on Analytics India Magazine.

Attrition is a serious concern for analytics industry in India, especially when the availability of data scientists is called out as the biggest challenge facing organizations. Whenever, a well trained and knowledgeable employee leaves, the organization loses key skills, knowledge and business relationships. Moreover, there are serious costs involved in replacing that employee.

In this independent study, we try to put in some numbers around attrition rates in the analytics industry. This study is an outcome of a sample size of 20 largest analytics recruiters and the analysis of their current strength and past employees.

The main objective of this study is to provide benchmarking against which employee attrition can be measured. We will keep expanding the study over the year, as we accumulate more data as well as needs.

• The average employee attrition in Analytics & Data Science Industry in India currently stands at 24.4% annually.
• Also, analytics employees tend to stay in their organization for an average of 3.7 Years.
• In terms of the organization type, the analytics function at IT providers tends to have the highest attrition at 26%. IT service providers are the biggest recruiters of analytics professionals and therefore tend to skew the overall attrition rates higher.
• GIC’s/ Captive have an employee attrition at 22.1%, followed by Consulting firms at 21.9% and Boutique analytics firms at 21.6%.

• IT service providers also tend to have the highest tenure of analytics professionals in their current organizations, at 4.5 years. We noticed no correlation between years in the current organization to attrition rates.
• Captives have an average of 3.9 years as employee tenure followed by consulting firms at 3.3 years and Boutique analytics firms at 3 years.

Attrition Trends by Cities

• Mumbai currently has the highest annual attrition rates in analytics, at 25.7%. The city boasts of a robust data science ecosystem, mostly from banking and finance industry. Coupled with high salaries and demand for data scientists, Mumbai is pushed to the highest position in terms of employee attrition.
• Chennai, on the other hand, has the lowest attrition rates, at just 15.5%.
• It is evident that larger cities, with bigger employee base in analytics (Bangalore, Mumbai & Delhi/ NCR) have higher attrition rates, higher than 20%. While, cities with lesser employee base have in turn lower attrition rates, lesser than 20%.

• Also, current analytics employees in Mumbai are on average staying their current organizations for an average of 4.2 years. As earlier mentioned, we did not find any correlation with attrition rates and tenure.
• Tenure of analytics professionals in Chennai is highest, at 4.5 years.

Attrition Trends by Experience Level

• Employee attrition increases with a decrease in experience levels. Younger employees tend to jump jobs more often.
• At senior level i.e. more than 10 years experience, the attrition rates for analytics industry stands at just 13.7%.
• While at fresher’s level, the attrition rates are almost 80%.

• The same is true for average tenure in the current organization. More than 10 years experience has an average tenure of 7 Years.

The post Analytics India Employee Attrition Study – 2017 appeared first on Analytics India Magazine.

With data becoming increasingly central to businesses, businesses are betting big in zeroing down on the right talent. Lucre aside, analytics has become central to running enterprises efficiently.

Amidst the sheer volume and the variety of data generated, what organisations are looking at is a well-structured data and findings in a consumable format that makes some sense.

Organizations want to hire professionals who can not only slice and dice, but communicate their findings effectively to senior leadership as well. This is where the all-time high demand for analytics professionals comes in.

Analytics India Magazine in association with AnalytixLabs presents the annual, comprehensive Analytics India Salary Study 2017 that gives peek into the various aspect of salary structure for every professional who wants to makes a head-start in this industry.

Download the report to get to know the in-depth salary trends across various sectors, skills, tools and domains.

The post Analytics India Salary Study 2017 – by AIM & AnalytixLabs appeared first on Analytics India Magazine.

The combination of smart connected devices with data analytics and machine learning is enabling a wide range of applications, from home-grown traffic monitors to sophisticated predictive maintenance systems and futuristic consumer products. While the combination brings virtually limitless opportunities, there are few challenges, such as –

• using huge data to build accurate and robust models,
• scaling the analytical models to work with an enterprise system or
• embedding intelligence in the edge device

In this session, we show you techniques for handling large amounts of data, tools used to create machine learning models as well as deploying an IoT system with data analytics without developing custom web software or servers.

Highlights:

• Accessing data in large text files, databases, or from the Hadoop Distributed File System (HDFS)
• Processing data that does not fit in memory
• Integrating online analysis and visualization using MATLAB
• Scaling IoT solutions with analytics

Date: June 15

Time: 3 pm

Presenter: Amit Doshi

Senior Application Engineer, MathWorks India

Amit Doshi is a senior application engineer at MathWorks in the area of technical computing. He focuses on data acquisition, data presentation, statistical analysis, and parallel computing. Amit has over 9 years of experience in experimental test setup development, testing and validation, workflow automation, and system simulations. He previously worked at Suzlon Energy Limited in Pune and Germany, Texas Instruments in Germany, and IIT Bombay. Amit holds a bachelor’s degree in mechanical engineering and a master’s degree in mechatronics.

Register for this webinar.

The post Webinar: Developing and Deploying Analytics for Internet of Things (IoT)/ Enterprise Systems | 15th June, 3pm appeared first on Analytics India Magazine.

There is no doubt about the fact that Data Scientist is a trending job role. Infact, almost all industrialized countries are utilizing data science in some amount, shape or form and data scientists are in demand in most countries. Yet, there is a lingering question on data scientists’ salaries in various countries.

While we continuously hear about data scientist being one of the highest paid jobs around the world, there’s not enough literature/ research on what exactly these salaries are in various countries.

So, we decided to work on this one ourselves. Here we plan to uncover the top 10 highest paying countries to data scientist, both in absolute dollar terms and Purchasing power parity (PPP) basis. Here’s how we did it-

• Extracted salary information for data scientists through various online portal that included:

1. Job boards like Indeed & monster
2. Country specific job boards
3. Salary research sites like glassdoor & payscale
4. Various online blogs & discussion forums

• Found median salaries for each country
• Converted the local currency to dollars
• Converted the dollars to PPP relative to US$ using Big Mac index of 2013.

Here’s how to read this information:

• These salaries are not directly reflective of the demand for data scientists in these countries. Salaries in a country are influenced by various factor apart from the demand, like minimum basic salaries, exchange rates & purchasing power
• These are median salaries across all experience levels, industries and skills for data scientists. The goal is to provide a single number across countries that show the parity. We acknowledge the fact that there would be a range of salaries that would be dependent on various factors at work.

So, here are top 10 countries that pay the most to Data Scientists, along with the median salaries in $.

1) USA                       $1,12,000

2) Switzerland          $1,10,895

3) Norway                 $87,353

4) Australia              $66,499

5) Canada                 $55,104

6) Germany              $54,329

7) South Africa         $54,100

8) France                   $48,933

9) Netherlands         $46,148

10) UK                         $45,248

Top 10 countries that pay the most to Data Scientists in PPP terms.

1) USA                       $1,12,000

2) South Africa         $83,314

3) Norway                $69,882

4) Switzerland          $69,864

5) China/ Hong Kong $62,057

6) UK                         $46,605

7) Russia                   $39,150

8) Singapore            $38,514

9) Indonesia             $37,981

10) India                   $28,868

By the way, India is among top 10 countries according to purchasing power parity.

The post Countries that pay the most to Data Scientists appeared first on Analytics India Magazine.

With data becoming increasingly central to businesses, businesses are betting big in zeroing down on the right talent. Lucre aside, analytics has become central to running enterprises efficiently.

Amidst the sheer volume and the variety of data generated, what organisations are looking at is a well-structured data and findings in a consumable format that makes some sense.

Organizations want to hire professionals who can not only slice and dice, but communicate their findings effectively to senior leadership as well. This is where the all-time high demand for analytics professionals comes in.

Analytics India Magazine in association with AnalytixLabs presents the annual, comprehensive Analytics India Salary Study 2017 that gives peek into the various aspect of salary structure for every professional who wants to makes a head-start in this industry.

Download the report to get to know the in-depth salary trends across various sectors, skills, tools and domains.

Read last year’s report here

Key Trends- 

• The average analytics salary in India for year ending 2016 was INR 11.7 Lacs across all experience level and skill sets.
• This is the highest average salary for analytics professionals ever, with almost 22% increase since a year ago. Average analytics salaries in 2016 were 9.5L.
• Though overall the number of analytics professionals increased last year, the percentage of professionals with salary in 0-6L band decreased from 42% to 39%. There has been visibly more demand for senior professionals last year, thus pushing the average salaries higher.
• On one hand, the percentage of Analytics professionals commanding salaries less than INR 10 Lacs has gone; % of Analytics professionals earning more than INR 15 Lacs has increased from 33% in 2016 to 37% in 2017.
• Analytics professionals with salaries in extreme bracket of 50+L have increased significantly this year – to 3.7% from just 1.1% a year ago.

Analytics Salaries vs other Domains-

• On average, analytics professionals receive around 30% higher salaries than IT professionals in India.
• While, the average salaries of Analytics professionals stand at 11.7L, that of IT professionals is at 8.65L, of professionals in Primary Research is 9.03L, Financial research at 8.96L and that of Secondary research is 7.83L.
• Just 39% of analytics professionals have salaries under 6Lakhs vs 58% in IT.
• 28% analytics professionals in India earn in the salary bracket of 10-25L. This number for IT professionals is 17%.

Salary Trends across Tools & Skills-

• Advanced analytics/predictive modeling professionals are paid the highest salaries compared to their analytics peers i.e. 14.7 Lacs on average.
• Big data professionals and data mining professionals get up to 13 Lacs & 9.9 lacs on average.
• BI, Reporting , MIS professionals get upto 8.3 Lacs on average and data engineer an average of 11.5 Lacs.

• Within Big data profiles:
  1. Hadoop professionals command an average of 12 Lacs. The salaries increased by around 21% since a year ago of 9.9L.
  2. Spark professionals command an average of 10.1 Lacs with an increase of almost 15% from a year ago of 8.8L.
• NoSql/ MangoDB professionals receive an average of 11.5 Lacs, a slight increase from 11.1L since a year ago.
• Qlikview professionals command marginally higher than Tableau professionals in visualization skill jobs – 12.1 Lacs vs 11.7 Lacs on an average. Visualization tools salaries have increased around 28% since a year ago.
• Within Advanced Analytics profiles:
  1. R programmers receive the highest average salaries this year in adavcned analytics tools skillset – at 11.1L. R have defeated SAS, SPSS and Python in terms of average salaries this year.
  2. On an average, professionals get up to 10.3 Lacs for SAS, vs 8.7 Lacs for SPSS professionals. SAS salaries have increased by just 13% since a year ago.
  3. Python gets a higher pay of 10.5 Lacs compared to SAS and SPSS. Yet, Python is the only skill set for which the average salaries have decreased since a year ago – by almost 7%.

Salary Trends across Cities- 

• Average salaries across all cities have increased by more than 20% for analytics professionals this year.
• Pune saw the highest increase in analytics salaries by almost 30% – from 8.8L to 11.4L this year.
• Mumbai retails its spot for highest salaries in Analytics at almost 14L per annum – an increase of 22% from a year ago.
• In the 0-6 Lacs bracket, Hyderabad dominates other cities with 42% of analytics professionals earning below 6 Lacs followed closely by Pune at 39%.
• Mumbai leads the pack in more than 15L salary bracket, with 28% earning within this bracket, followed closely by Bangalore (25%) and Delhi/NCR(22%).

Salary trends across Experience levels-

• Analytics salaries saw the biggest jump at the entry level (0-3Yrs experience) last year. There was almost a 61% jump in salaries in this experience bracket – from 4.1L to 6.6L average.
• At entry level, almost 76% of analytics professionals are under the 0-6 Lacs salary bracket.
• For other experience brackets, the salary increases have been relatively lower, especially at higher experience bracket – at 12+ years experience, the salary rises in analytics have just been 4% last year.
• A transition to senior analytics leaders, with more than 12 years of experience, can lead to almost 50% increase in salaries.

Salary trends across Company Type-

• This year, Captive Analytics centers tend to be highest salary providers in analytics, at an average of 14.1L.
• They were followed by Consulting firms at 13.9L and Domestic firms at 13.6L analytics salaries on average.
• However, Boutique analytics firms continue to pay the lowest – an average of 9.5L, albeit a 20% hike from last year of 7.9 Lacs.
• Large IT service providers pay 11.4 Lacs in analytics, an increase of 20% from 9.5L.
• Domestic Indian firms have been the slowest in increasing the analytics salaries last year. They currently pay an average of 13.6L, an increase of just 13% to their analytics/ data science teams.

Conclusion-

From large enterprises, captive analytics businesses, boutique analytics or consulting firms, the demand for quality data analysts is met with a lucrative pay.  With data analytics driving all the component of an industry, the companies are open to offer more than decent pays to these rare breed of professionals. The compensations have seen a positive trajectory and have gone north in where skills are backed by experience. If you are trying to break into this field, now is the best time, especially when data analytics professionals snap 30% higher salaries than IT professionals in India

And like previous year, Hadoop, R, Spark and Python remain the most sought after tools by the employers, with a better pay package to those with advanced analytics/predictive modeling skills compared to data mining and BI tools.

Overall, the study, a great analytics find is a nudge in the right direction and will fuel hopes of making a career in analytics domain.  

Here’s the complete report

Download it here

The post Analytics India Salary Study 2017 – by AnalytixLabs & AIM appeared first on Analytics India Magazine.

With its increasing relevance across various sectors, the global demand for big data, analytics and data science professionals is on a rise. Piling data along with a surge in fields such as AI, machine learning and data science, has made analytics the most sought after professions in India as well. There is an increase in demand for highly skilled professionals and companies are on a constant lookout for professionals who can fill the gap.

This brings us to our yearly study around the scenario of analytics jobs in the country. Titled “Analytics and Data Science India Jobs Study 2017″, it taps into this very aspect and evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.

This year’s study brought to you in association with Edvancer, a leading institute offering a wide range of online big data analytics training courses for all levels, brings a complete picture of the analytics and data science job scenario in India, in the form of eye-opening statistics and visuals.

Top Trends in Analytics jobs-

• The number of analytics jobs almost doubled from April 2016 to April 2017.
• This is in sharp contrast to the percentage increase in analytics job inventory a year back. The number of analytics jobs increased by 52% from April 2015 to April 2016, and by 40% from April 2014 to April 2015.
• While, it is difficult to ascertain the exact number of analytics jobs openings; by our estimates, close to 50,000 positions related to analytics are currently available to be filled in India.
• Compared to worldwide estimates, India contributes just 12% of open jobs opening currently. The no. of jobs in India are likely to increase much faster vs. the rest of the world as more analytics projects get outsourced to India due to lack of skills across the world.
• 10 leading organizations with the most number of analytics opening this year are – Amazon, Citi, HCL, Goldman Sachs, IBM, JPMorgan Chase, Accenture, KPMG, E&Y & Capgemini.

Analytics jobs by cities-

• In terms of cities, Bengaluru accounts for around 25% of analytics jobs in India. This is down from 27% a year earlier.
• Delhi/ NCR comes second contributing 22% analytics jobs in India, down slightly from 23% a year ago.
• Approximately 17% of analytics jobs are from Mumbai. This is up from 15% from last year.
• The contribution of tier-B cities in analytics jobs have increased this year, from 5% in 2016 to 7% this year due to the increased number of start-ups operating in tier 2 cities.

Analytics jobs by industry-

• Banking & Financial sector continues to be the biggest influencer in Analytics job market. 46% of all jobs posted on analytics were from the banking sector. This is an increase from 42% a year ago.
• E-commerce have dipped in terms of analytics jobs this year. Just 10% of analytics jobs were in ecommerce sector as opposed to 14% a year ago.
• Media/ entertainment sector seems to have an uptick in analytics jobs this year, contributing to 7% of all analytics jobs as opposed to 4% a year ago. The sector has been traditionally a late adopter of analytics.

Education requirement by analytics jobs-

• Education requirements for analytics recruiters have remained the same since last year. Almost 42% of analytics job openings are looking for a B.E./ B.tech degree in the incumbent.
• 26% analytics job openings are looking for a postgraduate degree and 10% are looking for an MBA or PGDM.
• So, overall, 80% of all employers are looking to hire analytics professionals with either an engineering degree or a postgraduate degree.
• 9% analytics jobs are fine with any graduate degree.
• Job openings looking for a CA account for merely 3%.

Experience requirement by analytics jobs-

• Around 61% of analytics requirements are looking for candidates with less than 5 years experience.
• 17% analytics jobs are for freshers.
• 39% analytics job openings are for professionals with more than 5 years job experience.
• There has been a significant increase in the requirement for senior analytics professionals last year. Job requirements for professionals more than 7 years experience increased from 17% of all analytics jobs in 2016 to 20% this year.

Analytics jobs in cities by experience level-

• 2-5 years of experience continues to be the most demanded experience level across all cities, averaging at 24% of job openings.
• This is followed by 5-7 years of experience level for most cities, except Chennai where analytics recruiter are looking for mostly 1-2 years experience after 2-5 years.
• In terms of change from last year, Delhi/ NCR saw the most change from 2016. There has been a significant increase in the demand for 2-7 years of experience level in Delhi/ NCR whereas the demand for less than two years experience shrank.
• Pune also saw a dip in demand for 0-2 years analytics professionals – from 42% of analytics openings in 2016 to 33% this year.

Analytics jobs across tools & skills-

• The demand for R professionals is the highest among all analytics recruiters. Almost 36% of all advertised analytics jobs in India demand for R as a core skill.
• Python skills comes second at 30% of all analytics jobs looking for Python professionals. Among statistical tools, open source programming tools have picked up the most in recent years.
• Among visualization tools, Tableau skills are most in demand with 9% of analytics jobs looking for Tableau professionals.

Analytics jobs by salaries-

• The median salaries being offered by advertised analytics jobs in India is INR 10.5 Lakh/ annum.
• Advertised salaries tend to be lower than actual salaries. We have earlier reported the median salaries of analytics professionals in India to be 11.7 Lakh.
• 28% of all analytics jobs offer a salary range of 6 to 10 Lakh, followed by 24% for 3-6 Lakh.
• Almost 40% of all advertised analytics jobs in India are offering a salary of more than 10 Lakh

Analytics jobs across company type-

• Captive centers/ GIC’s/ Back office have seen the highest growth in terms of analytics in last few years. Almost 56% of all analytics demand is with Captive centers in India. These are organizations that mostly utilize analytics for internal consumption (for primarily their global businesses).
• MNC IT & KPO service providers follow next with 18% of all analytics jobs advertised this year. Domestic IT & KPO service providers.and consulting firms follow at 15% & 11% respectively.

Conclusion-

The fact that the number of analytics jobs has almost doubled from April 2016 to April 2017, is indicative of a positive trend that India is witnessing in terms of analytics and data science hiring. The study also throws an interesting perspective on the analytics hiring scenario as there are close to 50,000 positions in this field that are wanting for skilled analytics professionals. This brings a good news for newcomers as out of the total number of openings, 17% of companies are looking for freshers, whereas 39% of analytics and data science job openings are for professionals with around 5 years job experience.

Overall, it brings a constructive picture of analytics and data science jobs in India this year, especially for freshers or for professionals who are looking to make a shift into analytics industry.

Here’s the complete Report

Download the report:

Your opinion matters:

The post Analytics and Data Science India Jobs Study 2017- by Edvancer & AIM appeared first on Analytics India Magazine.