John Selvam
Senior Data Scientist
United States
Summary
👤
Senior🎓
Top SchoolJohn Selvam is a Senior Data Scientist with nine years of experience turning academic ML research into production-ready systems for companies like Walmart Labs and Intuit. He specializes in feature engineering, time-series temporal disaggregation, and credit scorecard modeling—publishing useful open-source packages (monotonic-binning and timedisagg) that have attracted community adoption. His background blends an electrical engineering degree from NIT Calicut and a Masters in Analytics from the University of Minnesota, giving him both theoretical depth and practical rigor. At Walmart he focused on productizing cutting-edge models; at Equifax he built customer segmentation, churn, and PD scorecard solutions that supported revenue and retention decisions. He prefers to let code speak for him—most of his signal is in his GitHub repos where he publishes niche, reusable ML tools. Reachable by email, he actively seeks collaboration and contributions that move research into reliable production.
9 years of coding experience
5 years of employment as a software developer
Masters in Analytics, Masters in Analytics at University of MinnesotaBachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at National Institute of Technology Calicut
Github Skills (20)
binning10
pip10
python9
statistics9
forecast8
data-analysis8
forecasting8
machine-learning8
autoencoder8
r8
data-science8
adversarial-learning7
scikit-learn7
sequential6
variational-autoencoder6
Programming languages (1)
Github contributions (5)
jstephenj14/timedisagg
May 2020 - Dec 2020
Python package that implements temporal disaggregation models to convert low-frequency to high-frequency time series (pip install timedisagg).
Contributions:20 commits, 8 PRs, 10 pushes in 7 months
pippythontime-series
jstephenj14/Monotonic-WOE-Binning-Algorithm
Feb 2018 - Oct 2022
Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)
Contributions:50 commits, 15 PRs, 46 pushes in 4 years 8 months
binningpippython
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