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Tina Yang

Data Science & Analytics, Dasher Pay & Logistics Growth at DoorDash

Tina Yang is a seasoned data science and analytics professional with a diverse background in technology and finance. Currently serving as a Tech Lead at DoorDash, Tina focuses on enhancing the Dasher pay and tips recommendations algorithm to boost delivery quality and revenue growth. Prior experience includes a role at TikTok, where Tina led analytics for optimizing feed delivery. Tina's tenure at Affirm involved multiple leadership positions, culminating in overseeing analytics for the SuperApp, where responsibilities included user acquisition and marketplace insights. Tina began their career in investment analysis, with roles at TD, Khazanah Nasional Berhad, and Desautels Capital Management, supporting technology investments and financial strategies. Tina holds a Bachelor of Mathematics from the University of Waterloo and a Master's in Management in Finance from McGill University.

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