Summary
Min Zhu is a Senior Statistician with nine years of experience applying rigorous statistical inference, experimental design, and survey sampling techniques to real-world problems from Sunnyvale, CA. At NORC and previously Ipsos, Min has led weighting, raking, and post-stratification adjustments while building multivariate regression, clustering, and classification models to correct bias and improve survey-driven insights. Skilled in R, SQL, and Python, Min combines hands-on data manipulation and simulation expertise with practical sampling theory to deliver reproducible, policy-relevant analyses. Beyond routine modeling, Min brings deep experience translating complex survey methodology into actionable metrics for stakeholders, a strength developed through long-term work on large-scale survey projects.
9 years of coding experience
master, statistics, master, statistics at California State University-East Bay
English, Chinese