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Speaker "Sunanda Koduvayur Parthasarathy" Details Back

 

Topic

Scaling and Deploying AI in ecommerce : The personalization journey

Abstract

With an ever-expanding catalog of products that are inherently harder to buy with just an online description, Wayfair has a unique challenge in personalizing a customer’s journey to find their one special piece of home furnishing among zillion things home. In this talk I will go over multiple case studies where we have successfully demonstrated the benefit of applying ML and AI techniques to personalize a customer’s touchpoint, both onsite and off it. Starting from using reinforcement learning techniques that help send the right content to customers via emails, to applying computer vision and neural network methods to help curate the right kind of products onsite, the talk will aim to share the challenges we faced en-route to creating one of a kind online furniture shopping experience. Attendees can hope to take away key insights on how best to translate cutting edge data science technology into real business decisions and typical challenges faced in scaling these technologies.
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Profile

Sunanda Parthasarathy, is a Senior Director of Data Science & Analytics for Retail Pharmacy Personalization, at CVS Health. She oversees the data, analytics & data science strategy that help drive improved patient outcomes by personalizing the pharmacy-patient interactions. Prior to this, she led data science teams at Wayfair and DataXu. 
 
She has a PhD in Physics from Purdue University followed by a postdoctoral fellowship at Princeton University. She has been recongized as one of REWORK’s 30 influential women advancing AI in Boston & with the Mass TLC Emerging Executive Award, for her leadership in the data science community. 
 
She is an active member in the local start-up, tech and data science community and is the co-organizer of The Data Scientist meetup group in Boston & the chapter lead of the Women in Big Data Boston Chapter. She enjoys bringing together leading minds in the field of data science and AI, to engage in thought leadership in this evolving field.