Summary
Carol Lin is a Senior Statistical Programmer Manager with nine years of experience applying statistical modeling and large-scale data engineering to healthcare, policy, and consultancy projects across the US and China. Based in New York with Bay Area experience, she leads teams at Acumen, managing interns and direct reports while building quantitative models, terabyte-scale relational pipelines, and clear visualizations for non-technical stakeholders. A dual-degree applied statistics and economics graduate (Purdue, Fordham MS, 4.0) and certified programmer, she combines rigorous academic training with polished industry practice in R, SAS, Python, SQL and LaTeX. Her background includes text analytics for the UN and strategic research publications, and she’s actively exploring trading-algorithm development through her GitHub portfolio. Notably, she translates complex, messy data into actionable metrics and trains junior talent to do the same.
9 years of coding experience
Bachelor of Science (B.S.), Economics Honors, Applied Statistics, Actuarial Science, 3.87/4.0, Bachelor of Science (B.S.), Economics Honors, Applied Statistics, Actuarial Science, 3.87/4.0 at Purdue University
Master of Science (MS), Applied Statistics and Decision - Making, 4.0/4.0, Master of Science (MS), Applied Statistics and Decision - Making, 4.0/4.0 at Fordham Gabelli School of Business
French, English, Chinese