Shuhan Lu is a data scientist specializing in product analytics with eight years of experience applying causal inference, CTR prediction, and time-series modeling to optimize ad performance and budget allocation. Based in Foster City, CA, she has driven measurable business impact at Nexxen—building an internal analytics package that cut delivery-related tickets by 80%—and now contributes product analytics at Meta. She combines a business-analytics MS from UC Davis with hands-on experience in A/B testing, calibration for imbalanced data, and ad supply-demand forecasting. Notably, her background spans both engineering and analytics—from mechanical engineering to derivatives and ad-tech—giving her a pragmatic edge in translating complex models into product decisions.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering - BE Mechanical Engineering, Bachelor of Engineering - BE Mechanical Engineering at Beijing Jiaotong University
Master of Science - MS Business analytics, Master of Science - MS Business analytics at University of California, Davis - Graduate School of Management
Contributions:700 commits, 81 pushes in 1 year 11 months
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