Summary
Nicholas Kalinowski is a data scientist with a decade of experience applying machine learning and statistical techniques across healthcare, AI startups, and sports analytics. He holds a 4.0 Master's in Data Science from UVA and a BA in Mathematics with a probability/statistics concentration, grounding his work in rigorous quantitative methods. His internships at the NIH and Entanglement led to published research and production ML models, and he built clinical databases and analytic workflows while at UVA Health. Now a Basketball Analytics Associate at Kroenke Sports & Entertainment, he brings geospatial and sports-focused modeling expertise alongside practical Python, SQL, and R skills. Nicholas combines research-grade rigor with hands-on product delivery from prior roles at STR and data internships, often translating complex models into operational tools. Colleagues describe him as analytically curious and uniquely comfortable bridging lab-style research with applied analytics in fast-moving teams.
10 years of coding experience
3 years of employment as a software developer
Master's degree, Data Science, 4.0, Master's degree, Data Science, 4.0 at UVA School of Data Science
Graduate with High Honors (GPA 4.0+), Graduate with High Honors (GPA 4.0+) at McLean School
Mathematics, Microbiology and Immunology, Mathematics, Microbiology and Immunology at University of Miami
Bachelor of Arts - BA, Mathematics - Statistics and Probability Major, Data Science Minor, Bachelor of Arts - BA, Mathematics - Statistics and Probability Major, Data Science Minor at University of Virginia