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Posts In Category "Industry Insights – Data"

Interview with Ambuj Kathuria, Head – Data & Analytics, Birlasoft

Shweta Gupta, VP – Technology at Digital Vidya – As a Data Scientist, you continuously need to be in the learning mode. Upskilling, relearning and being on top of trends and analysis in the industry is very important, or may I say vital to being relevant. Its hard to read a lot of blogs and […]

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Interview with Avik Sarkar, Head-Data Analytics Cell, NITI Aayog, Govt. of India

Shweta Gupta, VP – Technology at Digital Vidya Data Science is not only interesting and enjoyable but important as well. From its use in healthcare all the way to agriculture, the future will depend on our ability to use data to our advantage. It is the cornerstone of the modern day research, and without it, […]

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Interview with Lovekesh Vig, Senior Scientist, TCS Research

Shweta Gupta – Vice President Technology at Digital Vidya It is bewildering to see how Data Science, ML, Deep Learning and AI are giving a twist to every process known in industries such as E-Commerce, BFSI, Manufacturing, Healthcare etc. At Digital Vidya, we are eager to know the in’s and out’s of this new phenomenon […]

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Interview with Vijay Srinivas Agneeswaran, Senior Director of Technology, SapientRazorfish

Vijay Srinivas Agneeswaran started writing software to parallelize and distribute a scientific job across a cluster of nodes in the classical cluster/grid/peer-to-peer computing mode during his doctoral work at the IIT Madras. Vijay’s doctoral thesis turned out to be precursoror to the Cassandra kind of large scale fault tolerant distributed data stores – it combined […]

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Interview with Ravi Vijayaraghavan, Vice President and Head – Analytics and Decision Sciences, Flipkart.com

After completing his undergraduate in Engineering, Ravi Vijayaraghavan went on to do his PhD. His PhD thesis was, in the then (1990s) emerging area of computational modelling and optimization. This is where Ravi first developed skills in Numerical/Mathematical Modelling, Statistics, Optimization, Non-linear Systems and emerging Machine Learning techniques such as neural networks. He then joined Ford […]

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Interview with Naresh Mehta, AVP – Data Science & Analytics, Zomato

Started as a consultant with ZS Associates after the dual degree in mechanical engineering from IIT Madras in 2007 – this is where Naresh Mehta‘s journey started more than a decade ago, became an advanced user of SAS & Excel and realized the power of data. Moved to consumer behaviour analytics in 2010 when he […]

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Interview with Shivaram K R, Co-Founder and CEO, Curl Analytics

Shivaram K R is currently Co-Founder and CEO of Curl Analytics. He has an academic background. Shivaram is a Machine Learning (ML) expert. He has been building ML models from last 12 years. He started mastering ML in IIT Delhi. Since then he has worked on various kinds of problems in multiple domains. Shivaram has […]

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Interview with Ajay Ohri, Data Scientist, Kogentix Inc.

Ajay Ohri did his MBA from IIML and engineering from DCE, top ten institutes in India of their kind. After a year of car sales from Tata Motors, he started analytics with GE as a Business Analyst. Ajay took a triple promotion to be a Manager in WNS- leading the first successful POC to contract team […]

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Interview with Rajat Venkatesh, Director of Engineering, Qubole

Rajat Venkatesh has worked on Big Data platforms for more than 10 years. He has been part of two cycles of disruption in big data: first build Massively Parallel Processing databases on commodity hardware as an early member of the Vertica team and secondly architect an elastic MPP databases on cloud platforms like AWS and Azure. […]

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Interview with Sachin Pendse, Data and Analytics- Global BI Modeling/Architecture and Reporting Hub Lead, Mondelēz International

Sachin Pendse is an engineer by qualification and has over 19 years of IT leadership and management experience. He has worked in leading organizations like L&T, Accenture, Tech Mahindra, Cadbury and Mondelez International where he has successfully led and implemented serval Business Intelligence and Analytics Programs which involve descriptive, diagnostic and predictive analysis in supply […]

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