Summary
Umang Chaudhry is a Senior Data Scientist with eight years of experience translating domain problems into production-ready machine learning solutions at Vanderbilt’s Data Science Institute. He consults across university departments and industry, leads interdisciplinary teams of students and domain experts, and teaches practical workshops on tools from Gradio and LangChain to DVC and Great Expectations. Umang combines hands-on MLOps (DGX A100, Slurm, Docker) with applied research—helping develop transformer-based assistive technologies and the AWS backends that make them accessible. His background in earth and environmental science informs a pragmatic, data-driven approach to socially impactful projects like transit accessibility and data-for-good initiatives.
8 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Data Science Institute at Vanderbilt University
Earth and Environmental Science, Communication of Science and Technology, Earth and Environmental Science, Communication of Science and Technology at Vanderbilt University
International Baccalaureate Diploma, International Baccalaureate Diploma at Singapore International School