Summary
Jing An is a data scientist with an MS in Operations Research from Columbia and a BS in Statistics & Data Science from UC Santa Barbara, bringing 11 years of analytical experience across consulting and finance. She has translated statistical models and digital-marketing analytics into measurable business impact—improving forecasting accuracy by 30% and boosting website traffic by 30% through targeted campaigns. At Accenture she screened thousands of companies, led primary interviews, and produced in-depth industry forecasts and strategy decks, while at China Industrial Securities she structured debt financing analyses and guided a small team in market strategy presentations. Comfortable bridging quantitative modeling, stakeholder interviews, and implementation, she also has practical experience reducing operational friction through information-system improvements. Notably, she combines rigorous academic training with hands-on project leadership that spans market research, transaction design, and data-driven decision support.
11 years of coding experience
Master of Science - MS, Operations Research, Master of Science - MS, Operations Research at Columbia University in the City of New York
Bachelor of Science - BS, statistics and data science, 3.79/4.0, Bachelor of Science - BS, statistics and data science, 3.79/4.0 at University of California, Santa Barbara