Prayag Chatha is a Ph.D. candidate in Statistics at the University of Michigan with nine years of experience applying deep learning to electronic health records and insurance claims. His work bridges rigorous statistical training from Wesleyan with practical data science roles in industry, including predictive modeling at CKM Analytix. At Michigan he focuses on scalable models for messy healthcare data, translating methodological research into real-world analytics. He combines strong mathematical foundations with hands-on experience in production analytics pipelines and claims-based inference. Based in Ann Arbor, he brings both academic depth and applied impact, often working at the intersection of statistics, machine learning, and health economics. An analytical thinker who codes research into reproducible tools, he aims to make complex clinical data actionable for policy and care decisions.
9 years of coding experience
2 years of employment as a software developer
Master of Arts - MA, Mathematics, Master of Arts - MA, Mathematics at Wesleyan University
Contributions:68 commits, 6 PRs, 65 pushes in 6 months
musicpianomachine-learning
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