Ozzie Liu is a Marketing Analytics Lead with 11 years of experience turning messy, large-scale data into actionable insights for consumer brands and subscription businesses. He has led analytics and data science teams at Peloton, Daily Harvest, and Casper, building incrementality measurement, MMM, LTV models, and production ML products that drive personalized marketing and channel optimization. Comfortable across Python, SQL, dbt, and modern analytics stacks, he pairs rigorous causal methods with practical data engineering to push experiments and forecasting into production. Ozzie also brings entrepreneurial grit from running a 1,000+ SKU ecommerce venture and contributes pro bono data science to civic organizations, demonstrating a blend of product intuition, technical depth, and mission-driven impact.
11 years of coding experience
13 years of employment as a software developer
Taipei American School
Master's degree Quantitative Finance, Master's degree Quantitative Finance at Rutgers Business School
Bachelor of Science (BS) Electrical and Computer Engineering, Bachelor of Science (BS) Electrical and Computer Engineering at Rutgers University
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