Summary
Huichuan Li is a data analyst and statistician with 8 years of experience turning messy, high-volume civic and operational data into defensible metrics, automated pipelines, and stakeholder-ready insights. He combines a Master’s in Statistics (data science concentration) with hands-on skills in Python, R, SQL, BigQuery, and BI tools to deploy end-to-end ETL and ML workflows that reduce manual effort and improve decision speed. At OpGov.ai he built scalable pipelines and LLM-enabled automation to classify and surface patterns in public records, improving transparency and analysis consistency. Past work in regulated public health analytics honed his ability to apply data governance, validation checks, and clear communication when translating ambiguous problems into practical solutions. He brings product-minded statistical thinking to time-series analysis, anomaly detection, and dashboard design so teams can evaluate tradeoffs and risks with confidence. Outside work he stays curious through surfing and creative pursuits, a balance that fuels pragmatic, user-centered analytics.
8 years of coding experience
Master of Science Statistics, Master of Science Statistics at California State University - East Bay
Bachelor's degree Economics, Bachelor's degree Economics at San Francisco State University
Associate of Arts and Sciences - AAS Economics, Associate of Arts and Sciences - AAS Economics at Grossmont College
Undergraduate's Coursework Econometrics and Quantitative Economics, Undergraduate's Coursework Econometrics and Quantitative Economics at San Diego State University