Summary
Raunak Mundada is a Senior Data Scientist with 11 years of experience building end-to-end statistical and machine learning solutions for credit risk, trading strategies, and applied research. Currently at Humana after a strong tenure at GM Financial, he drove a 10% uplift in credit scorecard performance using tree-based models and created an internally adopted R package to speed reproducible analytics. Comfortable across Python, R, SQL, Spark and Azure DevOps, he couples rigorous statistical thinking with production-minded engineering to move models from research to business impact. His background includes deep learning research on in-air gesture recognition and hands-on quantitative strategy development, reflecting a rare blend of academic research and pragmatic industry delivery. Based in Austin, he also mentors teams and stakeholders on ML best practices and documentation, helping organizations operationalize analytics. Reachable at raunakm90@gmail.com, he’s a lifelong learner who enjoys turning messy data into actionable decisions.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Technology (BTech), Electrical and Electronics Engineering, 7.45, Bachelor of Technology (BTech), Electrical and Electronics Engineering, 7.45 at Vishwakarma Institute Of Technology
Master's degree, Applied Statistics and Data Analysis, Master's degree, Applied Statistics and Data Analysis at Southern Methodist University
English