Summary
Siqi Feng is a Business Intelligence Engineer with nine years of experience turning data into decision-ready products at companies like Amazon and The E.W. Scripps Company. She builds databases, SSAS cubes, dashboards, and automation tooling—projects that have optimized inventory usage, saved hours of manual work, and supported sales and content strategy. Comfortable across Python, SQL, R and BI stacks, she combines rigorous Operations Research training from Columbia with hands-on production delivery. Beyond routine analytics, she has implemented end-to-end systems—from web-scraped data pipelines to stored procedures—that bridge engineering and business stakeholders. Based in New York, she describes herself wryly on GitHub as a "Professional CRUD Engineer," reflecting a pragmatic focus on reliable, maintainable data systems.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Operations Research, Master of Science - MS, Operations Research at Columbia University in the City of New York
Bachelor's degree, Mathematical Sciences, Bachelor's degree, Mathematical Sciences at Barnard College
Fordham University
Chinese, English