Mark Sims is a multidisciplinary data scientist, programmer, and educator with a decade of management experience and a strong academic foundation in physics (Duke) and computer science (UMass Amherst). He combines practical Python machine learning skills—linear and logistic regression and broader data-science tooling—with proficiency in Java, HTML, and JavaScript to turn complex datasets into clear, actionable insights. Currently teaching high school algebra through introductory calculus and computer science while working as a data scientist and programmer, he bridges pedagogy and production analytics to explain technical results to diverse audiences. His background running a golf club as co-managing partner demonstrates operational leadership and an ability to apply quantitative thinking in real-world business settings.
10 years of coding experience
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Duke University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Massachusetts Amherst
Master's degree, Master's degree at Harvard Divinity School
Contributions:50 commits, 34 pushes, 1 branch in 2 months
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