Jaswinder Singh is a data scientist with 8 years of experience building ML-driven products that optimize B2B order-to-cash processes, currently at HDFC Bank after impactful work at HighRadius. He has delivered production models for credit limit suggestions, customer segmentation with explainable k-means and an ELO-style rating, and invoice payment-date prediction that customers use to proactively manage risk and collections. His work blends domain-aware feature engineering on SAP and sales-forecast data with pragmatic model explainability to drive adoption across multiple businesses. An active open-source contributor, he maintains Zoofs (Zoo Feature Selection) and contributes to NitroFE, signaling a strong focus on feature engineering tooling beyond product deployments.
7 years of coding experience
2 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Kalinga Institute of Industrial Technology, Bhubaneswar
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Contributions:14 releases, 262 commits, 34 PRs in 2 years 6 months
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
Contributions:1 release, 117 commits, 14 pushes in 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.