Summary
Pratha Francis is a Senior Data Scientist with over 12 years of experience applying advanced analytics, epidemiology, and machine learning to healthcare and public health problems. She combines deep domain expertise in infectious disease modeling, real-world evidence, and network analysis with strong engineering skills in R, Python, SQL, Tableau and Alteryx to derive actionable insights from EHR and claims data. A PhD-trained quantitative epidemiologist and former Yale associate research scientist, she has a track record of peer-reviewed publications and building innovative ML tools for clinical and population-health challenges. At Optum she translates complex data into precision behavioral health solutions while retaining an academic rigor that informs reproducible, publication-quality work. Notably, she bridges computational theory and practical deployment—turning simulation and Bayesian models from her research into production-ready analytics for health systems.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Quantitative epidemiology, Doctor of Philosophy (Ph.D.), Quantitative epidemiology at Georgetown University
English, Hindi