Pratham Chhabria

Junior Data Engineer

Greensboro, North Carolina, United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Pratham Chhabria is a Junior Data Engineer with six years of experience applying practical ML and data engineering skills in industry settings, currently contributing to John Deere from Greensboro, NC. He has hands-on experience refining classical ML algorithms—k-means, SVM, nearest neighbors, and decision trees—through contributions to the open-source Libra library, demonstrating attention to model parameters, dataset handling, and training pipelines. Pratham’s background includes roles spanning developer documentation, performance engineering at HPE, and software internships, giving him a blend of engineering, product-writing, and systems-performance instincts. He holds an engineering degree from NC State and brings a systems-oriented approach to building reliable data workflows and reproducible ML components. Colleagues would describe him as a pragmatic implementer who elevates model reliability through careful code-level improvements and clear technical communication.
code5 years of coding experience
job1 year of employment as a software developer
bookBachelor of Engineering - BS, Industrial and Systems Engineering, Bachelor of Engineering - BS, Industrial and Systems Engineering at North Carolina State University
github-logo-circle

Github Skills (10)

scikit-learn10
machine-learning10
python10
scikit10
automl9
k-means-clustering9
svm9
decision-tree9
neural-network8
data-preprocessing8

Programming languages (3)

MakefileJupyter NotebookPython

Github contributions (5)

github-logo-circle
Palashio/libra

Jun 2020 - Jul 2020

Ergonomic machine learning for everyone.
Role in this project:
userML Engineer
Contributions:19 commits, 9 PRs, 127 pushes in 1 month
Contributions summary:Pratham primarily contributed to the `libra` repository by updating machine learning model implementations. Their work involved modifying existing code for k-means clustering, SVM, nearest neighbors, and decision tree models. The commits include changes related to parameters, dataset handling, and model training, demonstrating a focus on improving and refining the machine learning functionalities of the library.
pythonmachine-learning-for-everyonedata-scienceneural-networksmachine-learning
Contributions:2 commits, 1 push, 1 branch in 1 day
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.
Request Free Trial