Wayfair
Vinith Angadi is a seasoned data professional with extensive experience in machine learning and data analytics. Currently serving as a Machine Learning Scientist at Wayfair since January 2025, Vinith previously held positions as a Data Scientist at Meta, focusing on Employee Workforce Analytics from January 2023 to January 2025, and at Snap Inc. where work involved Ads Auction and Sponsored Lens Ranking from August 2021 to November 2022. Earlier experiences include scripting PySpark queries at Verizon Media to analyze user location data and mentoring students in data mining and business intelligence at USC Viterbi School of Engineering. Vinith also served as a senator for the ISE Department, organizing a virtual workshop on SAS for business intelligence. Educational qualifications include a Master of Science in Analytics from the University of Southern California.
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Wayfair
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Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 10 million items across home furnishings, décor, home improvement, housewares and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery.