Pawan Nandakishore is a Senior Data Scientist with a decade of experience bridging experimental physics and machine learning to build production-ready AI solutions. His background in physics and image analysis fuels a pragmatic, data-first approach—he has designed end-to-end ML pipelines, feature stores, and deployed models at scale on AWS and SageMaker for millions of products. Notable wins include cutting cost-prediction error by 20%, automating taxonomy and labeling to shrink workflows from days to hours, and achieving high-accuracy computer vision trackers with minimal training data. Comfortable across Python, R, TensorFlow, and a wide ML tooling stack, he pairs hands-on engineering with stakeholder-focused reporting and dashboarding. Based in Tracy, CA, he also mentors and trains others in data science, translating complex research problems into practical, deployable systems.
9 years of coding experience
7 years of employment as a software developer
Master's Degree, Physics, Master's Degree, Physics at University of Mysore
Doctor of Philosophy (Ph.D.), Fracture Mechanics, Experimentation, Image Analysis, Doctor of Philosophy (Ph.D.), Fracture Mechanics, Experimentation, Image Analysis at The University of Göttingen
Contributions:2 PRs, 256 pushes, 2 branches in 5 months
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