ML Applications & Challenges in Brick-n-Mortar Retail
This talk will focus on applications of ML in brick-n-mortar retail operations, and how it differs from online world. Specifically, how we are using recent advancements in Machine Learning to power core retail operations like pricing, assortment and replenishment. It also will discuss how we can leverage human expertise and use it as feedback to improve the algorithms.
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.