Job Title: Vice President & Head - Analytics
Dr. Ravi Vijayaraghavan is a Vice President at Flipkart where he leads the Analytics and Decision Sciences organization. This team is responsible for leveraging data, analytics and science to drive decision-making and business impact across all areas of Flipkart .
Prior to joining Flipkart, Ravi was the Chief Data Scientist and Global Head of the Analytics and Data Sciences Organization at 7.ai – a silicon valley based company that builds machine learning and artificial intelligence driven software products for customer service. At 7.ai Ravi and his team were responsible for invention, development, implementation, and optimization of all analytics and machine learning driven solutions that form the core of 7’s product offerings. These products and solutions leverage machine learning to enable a more intuitive customer care experience for consumers through online and offline channels.
Before joining 7, Ravi held a variety of leadership roles at Ford Motor Company. His contributions were in the applications of computing and analytics to the design and optimization of business and engineering systems. He was the recipient of a Henry Ford Technology Award – the highest technical recognition at Ford. Ravi was also a vice president and part of the executive leadership team of Mu Sigma Inc., a Chicago/Bangalore based pure-play analytical services company.
Ravi has 25+ patent filings, many refereed publications and has presented as invited/ keynote speaker at several international conferences. Ravi holds a Bachelor’s degree in Engineering from the Indian Institute of Technology – Madras, a PhD from University of Wisconsin-Madison, and an MBA from the Ross School of Business, University of Michigan – Ann Arbor
Ravi currently lives in Bangalore with his wife and son.
Data and eCommerce in India Creating and measuring business value through analytics Driving decisions through predictive analytics and decision sciences – human and machine intelligence
As more and more algorithms are being used to affect decisioning, data leaders need to be constantly vigilant about the inherent bias built into our algorithms. Alongside this, in the wake of fake news, how do we trust where the data is leading us? This session will examine: Why diverse data talent teams are essential… Read more.