Divya Hindupur

Data Scientist, Walmart Labs

Divya Hindupur is a Data scientist on Walmart’s Smart Forecasting team. She solved demand forecasting problems on price and event sensitivity of item demand. She graduated from Columbia University with a Masters in Data Science and from IIT Kharagpur with B.Tech in Engineering. Previously, Divya was a Data Engineer at Barclays.

Past sessions

Summit 2021 Weekday Demand Sensing at Walmart

May 27, 2021 05:00 PM PT

The SMART Forecasting team at Walmart Labs has built an innovative, cloud-agnostic, scalable platform to improve Walmart’s ability to predict customer demand while improving item in-stocks and reducing food waste. Over a period of two years, all of Walmart’s key departments in the US, Canada and Mexico have adopted our forecasting solution with planned extensions to other Walmart operated international markets. Over 100M store-item combinations are forecasted every week for the next 52 weeks. We continue to enhance our modelling suite for COVID impact, pricing in international markets, and weekend sales corrections. We will present a general overview of our scaled forecasting solution and follow it by a concrete use case for in week adjustments which provides consistent business value for produce and is currently in the process of being scaled out to more Walmart departments.

In this session watch:
Divya Hindupur, Data Scientist, Walmart Labs
Jay Kakkar, Software Engineer, Walmart Labs

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