Victor Yang is a data-driven product manager with 14 years of experience building analytics and ML-backed products across fintech, consumer platforms, and public sector institutions. He currently leads multifamily data products and engineering at Freddie Mac after shaping discovery, notifications, and private-communications ML at Meta and analytics for new business verticals at DoorDash. Trained in computer science and commerce with a strong quantitative background, he blends experimental design, statistics, and product strategy to turn complex signals into actionable data products that move business metrics. His career also spans credit risk and consumer liquidity at Capital One and quantitative debt management modeling at the U.S. Treasury, giving him rare fluency across product, risk, and policy contexts. Known for a pragmatic, results-oriented style (and a “you miss 100% of the shots you don’t take” approach), he excels at translating technical trade-offs into clear decisions for stakeholders.
14 years of coding experience
4 years of employment as a software developer
Langley High School
B.S. Commerce (Finance and IT) Economics Math, B.S. Commerce (Finance and IT) Economics Math at University of Virginia
Data Science, Data Science at General Assembly
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Contributions:3 PRs, 15 pushes in 5 years 11 months
pubsubdataflow
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