Summary
Xinghui Song is a Senior Data Scientist with nine years of experience applying rigorous statistics and data engineering across high-impact internet companies, currently at Instacart after roles at Twitter and Yahoo. He combines a strong academic foundation—Master’s in Applied Statistics (4.0) from University of Michigan and a Math/Stats degree from Peking University—with hands-on expertise in Python, R, and SQL to turn complex datasets into actionable product and business insights. His background spans end-to-end analytics work: building reproducible R packages and Shiny dashboards in healthcare, automating large-scale SQL extraction, and driving data-driven features at scale in ad and consumer platforms. Comfortable bridging research and production, he’s known for packaging analytical workflows for reuse and for making technical results accessible to stakeholders. Based in Minnesota, he brings both deep quantitative rigor and practical engineering discipline to cross-functional teams.
9 years of coding experience
5 years of employment as a software developer
Master’s Degree, Applied Statistics, 4.0/4.0, Master’s Degree, Applied Statistics, 4.0/4.0 at University of Michigan
Bachelor’s Degree, Mathematics and Statistics, 3.65/4.00, Bachelor’s Degree, Mathematics and Statistics, 3.65/4.00 at Peking University
Chinese, English