Maverick Lin is an AVP in Asset Allocation at Voya Investment Management with eight years of experience at the intersection of quantitative finance, data science, and cloud engineering. A Cornell ORIE graduate with a CS minor, he transitioned from roles at Goldman Sachs and Hudson Data into portfolio analytics and asset allocation, leveraging ML and big-data architectures on AWS and GCP. He is an AWS Certified Developer who authors popular data science guides like the Data Science Cheatsheet and Cracking the Data Science Interview, reflecting a talent for distilling complex topics. A former Division I tennis athlete and avid Go player, Maverick brings competitive discipline and strategic thinking to quantitative problem solving and model development.
8 years of coding experience
Bachelor of Science - BS Operations Research Information Engineering (ORIE), Bachelor of Science - BS Operations Research Information Engineering (ORIE) at Cornell University
High School Diploma, High School Diploma at Highland Park High School
Contributions:34 commits, 7 PRs, 32 pushes in 4 years 2 months
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