Summary
Sifan Liu is a Lead Product Analyst based in San Francisco with nine years of experience translating data science and experimentation into measurable marketplace impact, having driven $3M+ through end-to-end ownership of optimization efforts. She blends hands-on ML and analytics (Udacity ML nanodegree) with policy-rooted rigor from a Georgetown Public Policy master's, enabling both fast A/B testing and robust measurement frameworks that inform executive roadmaps. At Instawork she built automated root-cause diagnostics and real-time alerting to surface friction for GMs and execs, and previously created ROI frameworks across 20,000+ channels at AWS Startups. Comfortable moving between prototyping (R Shiny), LLM-powered tools for research discovery, and production analytics, she accelerates product decisions under uncertainty. Not obviously: her background in economic policy and international development informs a rare ability to connect macro policy insights to micro product levers for inclusive marketplace growth.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Public Policy Analysis, 3.85/4.0, Master's degree, Public Policy Analysis, 3.85/4.0 at Georgetown University
Exchange Program, Business Administration and Management, General, Exchange Program, Business Administration and Management, General at The University of Texas at Austin
Machine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at Udacity
Bachelor of Arts (BA), Economics, Bachelor of Arts (BA), Economics at Shanghai Jiao Tong University
Chinese, English, Spanish, French