Rabindra Nepal
Principal Data Scientist
United States
Summary
👤
Senior🎓
Top SchoolRabindra Nepal is a Principal Data Scientist with a PhD in physics and nine years of experience translating rigorous scientific thinking into production ML and generative AI solutions across corporate, HR, and commercial functions. At Johnson & Johnson he leads end-to-end generative AI application development and data integration to drive workforce innovation and optimize new-asset commercial strategies, while earlier work at Zoetis produced predictive models and computer-vision systems for precision animal health. His background in theoretical and computational condensed matter physics gives him deep modeling intuition and a comfort with complex, privacy-sensitive data from sensors, genomics, and imaging. Rabindra combines research-grade analytical rigor with product delivery—designing pilots, managing regulated data pipelines, and partnering across teams to operationalize ML in real-world settings. An uncommon strength is his fluency across simulation-driven research and applied ML, enabling creative solutions like automated phenotype collection and high-resolution pathology scanning.
9 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS Physics Statistics and Math, Bachelor of Science - BS Physics Statistics and Math at Tribhuvan UniversityMaster of Science (M.Sc.) Physics, Master of Science (M.Sc.) Physics at Jawaharlal Nehru UniversityDoctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at University of Nebraska-LincolnSchool, School at Shree Madadev Secondary School, Nuwakot, NepalHigh School Science, High School Science at Nobel Academy Higher Secondary School, Kathmandu, Nepal
English, Nepali, HindiGithub contributions (5)
rnepal2/Solubility-Prediction-with-Graph-Neural-Networks
Sep 2021 - Jan 2023
Contributions:28 commits, 27 pushes, 1 branch in 1 year 4 months
rnepal2/ML-Experiments
Jan 2019 - Feb 2022
Contributions:40 commits, 35 pushes in 3 years 1 month
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