Ambarish Nag
Denver Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolAmbarish Nag is a data scientist and computational researcher with over 15 years of experience applying statistical methods, machine learning, and mathematical modeling to bioinformatics, energy systems, and lab-scale experimental workflows. He has led AI/ML pipeline development and generative-AI knowledge-graph work at a national laboratory, automated HPC and lab data operations with Bash/SLURM and Python, and now applies these skills to manufacturing continuous improvement at Leprino. His background spans transcriptomics, proteomics, metabolic modeling, and PV degradation analysis, reflecting an unusual blend of wet-lab bioinformatics and production-grade data engineering. Comfortable from algorithm design to deployment, he has a track record of turning domain-specific science problems—like riboswitch discovery and vehicular energy prediction—into reproducible, automated pipelines. Based in the Denver metro area, he pairs a Ph.D. in computational chemistry with hands-on experience in both research and industrial ML applications.
9 years of coding experience
20 years of employment as a software developer
M.Sc., Chemistry, M.Sc., Chemistry at Indian Institute of Technology KanpurB.Sc. (Hons), Chemistry, B.Sc. (Hons), Chemistry at Jadavpur UniversityHigher Secondary Certificate, Science, Higher Secondary Certificate, Science at South Point High SchoolPh.D., Computational Chemistry, Ph.D., Computational Chemistry at University of Chicago
English, Bengali, Hindi
Stackoverflow
33reputation
9kreached
1answer
4questions
Github Skills (14)
solar-energy10
energy10
power-systems9
photovoltaic9
electrical-engineering9
renewable-energy9
python7
pandas6
unit-testing6
nose6
confluent-platform6
apache-kafka6
hadoop6
timestamp6
Programming languages (1)
Github contributions (1)
NREL/rdtools
Jan 2017 - Dec 2017
PV Analysis Tools in Python
Contributions:40 commits in 10 months
pythonsolar-energyphotovoltaicanalysis-toolselectrical-engineering
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