Prakhar Mehrotra

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Using deep learning to make smarter decisions for retail operations: Walmart case study.

Pricing, assortment selection, space utilization and replenishment are some of the core tasks that are key to success of profitable store operations. In this talk, we present how the machine learning team for Walmart stores is making use of recent advances in machine learning to automate some of these store operations.

Prakhar Mehrotra currently is Senior Director of Machine Learning for Retail Data Science at Walmart Labs, based out of Sunnyvale CA. He overseas research and development of pricing, assortment, replenishment and planning algorithms to help merchants take smarter decisions. Prior to joining Walmart, he was Head of Data Science, Finance at Uber Technologies, San Francisco. At Uber, he built the Data Science arm for Finance and led global team of data scientists and data analysts spread across Amsterdam, Hyderabad and San Francisco. He lead the research and development of Machine Learning Algorithms related to Financial Forecasting (Supply & Demand), Budget Planning, Economic Simulations for Autonomous Vehicles. In his role, he has also worked on research and development related to payment analytics and treasury financial simulations. Prior to Uber, Mr. Mehrotra worked as Sr. Data Scientist at Twitter, Inc in San Francisco as part of Sales & Monetization team. He has Advanced Engineer’s degree in Aeronautics from California Institute of Technology (Caltech), Pasadena, and dual Masters in Aeronautics and Applied Mechanics from Ecole Polytechnique, Paris and Caltech. He did is undergraduate in Mechanical Engineering from National Institute of Technology, Trichy, India. He has given numerous invited talks including keynote speaker at EARL conference, Toronto Machine Learning Summit, NYU Center for Data Science, Wharton Technology Conference at Wharton School of Business. He also chaired the session on Forecasting at International Symposium on Forecasting, Australia 2017 and was invited judge (Risk & Intelligence) at the European Fintech Awards. Brussels.

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