Kenny Chowdhary

Senior Data Scientist

Hercules, California, United States
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Summary

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Senior
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Top School
Kenny Chowdhary is a Senior Data Scientist with over a decade of experience bridging machine learning, Bayesian inference, and uncertainty quantification for large-scale scientific and engineering models. He has driven prediction, calibration, and bias-correction work for exascale climate and hypersonics applications at Sandia and now applies those skills at NVIDIA, combining geometric MCMC, Gaussian processes, and deep learning to tackle high-dimensional, multi-target regression and model-error quantification. Kenny specializes in building robust ML workflows and parallel model-query pipelines—often leveraging scikit-learn APIs—for scalable hyperparameter tuning, feature selection, and Bayesian optimization. His academic foundation (PhD in Applied Mathematics from Brown) underpins practical advances in calibration under uncertainty, including use of relative-entropy risk bounds and function registration for complex distributions. A less obvious strength is his fluency across numerics, probabilistic theory, and software engineering, enabling him to translate theoretical UQ techniques into production-ready tools for climate-scale simulations.
code10 years of coding experience
job3 years of employment as a software developer
bookPhD, Applied Mathematics, PhD, Applied Mathematics at Brown University
bookBA, Mathematics, BA, Mathematics at New York University
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Stackoverflow

Stats
993reputation
51kreached
4answers
28questions
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Github Skills (75)

generic-programming10
nonlinear-dynamics10
dynamical-systems10
nonlinear9
snl-applications9
pattern-recognition9
manifold9
linear-algebra9
reduction9
pca-analysis8
cluster-computing8
cpp8
python8
c-library8
python-bindings8

Programming languages (3)

C++ShellPython

Github contributions (5)

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kennychowdhary/tesuract

Jan 2022 - Jun 2022

Contributions:100 commits, 68 pushes, 12 branches in 4 months
Contributions:11 pushes, 2 branches in 7 days
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