Summary
Michael Sims is a Senior Data Scientist with 11 years of experience applying statistical modeling and machine learning to product and marketing problems, currently advancing analytics at ClickUp in San Diego. With a Master’s in Applied Statistics and a strong mathematics background, he has built production-facing models across customer behavior, ad optimization, and student success prediction, often leveraging ensembles like XGBoost and custom tree-based methods. His career spans startups and academia where he translated research (including a CERP ensemble that outperformed common classifiers on cancer data) into practical BI and prediction systems. Known for curiosity and rigorous cross-validation practices, he combines experimental design and feature engineering to deliver measurable business impact. An early interest in sports and crowdfunding analytics shows he’s comfortable turning varied data sources into actionable insights.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at San Francisco State University
Master’s Degree, Applied Statistics, Master’s Degree, Applied Statistics at California State University, Long Beach
High School Diploma, General Studies, High School Diploma, General Studies at Chaparral High School
Spanish