Akash Shah is an applied researcher with a decade of experience using computer science and statistics to build ML-driven systems that inform business decisions. Currently at eBay, he focuses on advancing shipping through AI, and previously applied ML to identity fraud at TransUnion and returns optimization at Optoro. He combines academic rigor from a UC San Diego MS in Data Science with hands-on engineering experience across finance and research environments. Akash also mentors early-career data scientists (including a stint with edX/MIT) and has a practical bent for moving models into production under real-world constraints. Notably, his career blends product-focused impact with mentoring and cross-domain adaptability, making him effective at translating complex analytics into operational improvements.
10 years of coding experience
5 years of employment as a software developer
University of California, San Diego
Bachelors, Computer Engineering, Bachelors, Computer Engineering at Vishwakarma Institute Of Technology
Contributions:11 pushes, 1 branch in 1 year 7 months
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