Summary
Eric Peng is a Senior Data Scientist based in San Francisco with eight years of experience applying machine learning, causal inference, and data-driven product thinking across travel, insurance, and healthcare domains. He has built production ML systems for pricing and recommendation at Expedia, risk and cost-prediction models at Aon, and now contributes advanced data science work at TikTok. Eric pairs rigorous technical training from UC Berkeley (MS in Data Science & AI; BS in EECS) with hands-on experience deploying models that drive measurable business outcomes, from price-protection optimizations to high-cost claimant prediction. He is particularly adept at blending causal inference with predictive modeling to quantify program impact and reduce costs—an analytical angle that often uncovers levers business stakeholders hadn’t anticipated.
8 years of coding experience
5 years of employment as a software developer
Master's Degree Data Science & AI, Master's Degree Data Science & AI at University of California, Berkeley
Bachelor's degree Electrical Engineering and Computer Science, Bachelor's degree Electrical Engineering and Computer Science at UC Berkeley College of Engineering