Summary
Kevin Pan is a data scientist and builder with 10 years of experience applying ML and statistical methods to drive business impact across growth, integrity, and research roles. He has delivered production fraud-detection models at Lyft that saved millions annually, and built an LLM-driven content tooling platform at STRIVR to scale content creation. Currently shaping growth at WhatsApp, Kevin blends rigorous mathematical-economics training from UPenn with practical software skills to ship reproducible, high-performance analytics and ML systems. He’s comfortable across the stack—from data engineering and model reconciliation to experimentation and OKR planning—and has a track record of accelerating workflows (e.g., 10x speedups with data.table) and teaching others through internal trainings and volunteer courses. Notably, he pairs a research mindset with product-focused delivery, translating cutting-edge AI into tools that measurably change how teams operate.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Arts Mathematical Economics, Minors in Computer Science and Statistics, Bachelor of Arts Mathematical Economics, Minors in Computer Science and Statistics at University of Pennsylvania
English