Data Science at The Home Depot

Presented by Women Who Code Data Science and The Home Depot
Speakers: Reshma Lal Jagadheesh, Yao Sun, and Bethany Poll, The Home Depot
Moderated by Archana Vaidheeswaran, WWCode
Topic: Data Science at The Home Depot

Join WWCode for three technical lightning talks with our Partner, The Home Depot, to gain an insider look into how Data Science is leveraged at The Home Depot. Learn about the Data Science teams that are applying AI and Machine Learning to innovate the customer experience and get inspired for your own tech career!

Talk #1: How Conversational AI is Changing the Way We Answer Customer Questions in Contact Centers
Learn how The Home Depot is leveraging some of the latest advancements in Conversational AI to improve customer experience in Contact Centers.

Talk #2: Causal Inference in Space Optimization
This talk will focus on applying Data Science in The Home Depot stores to improve productivity, reduce frictions and drive profits. It will touch on the intersection of space/planogram data and machine learning methodologies, and it will discuss the unique opportunities to leverage data to optimize space allocation in modern retail.

Talk #3: Machine Learning in the Pro Space
Learn about how The Home Depot is applying Machine Learning principles in one of our fastest growing markets: Pro Experience.

Meet the Speakers:
Reshma Lal Jagadheesh, Conversational AI Team Lead
Yao Sun, Sr. Data Scientist
Bethany Poll, Data Science Manager

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