Oindrilla Chatterjee
Founder at Women in Tech Goa
Goa, India
Summary
🤩
Rockstar🎓
Top SchoolOindrilla Chatterjee is an AI and digital transformation leader with 8 years of experience building production-grade ML and data platforms across enterprise and startup environments. She has led generative-AI and synthetic-data initiatives at Red Hat, driven AI-enabled process optimization at Adage Automation, and co-founded Parkaze, a revenue-generating marketplace for urban parking. As Founder of Women in Tech Goa she cultivates community for women and non-binary technologists, blending technical leadership with grassroots mentorship. She teaches practical ML at the graduate level and has a strong academic foundation from Boston University and IIT-B collaborations, giving her a rare mix of applied engineering, product sensibility, and open-source orientation.
8 years of coding experience
8 years of employment as a software developer
High School Computer Science, High School Computer Science at Delhi Public School, Navi MumbaiBachelor of Engineering (B.E.) Electronics Engineering, Bachelor of Engineering (B.E.) Electronics Engineering at University of MumbaiMasters of Science Computer Science, Masters of Science Computer Science at Boston University
English, French, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (92)
kustomize10
ai10
kubernetes10
twitter-api10
classification-model10
twitter9
social-media9
core-package9
openshift9
synthetic-data8
categorical8
custom-taxonomy8
redhat8
spark8
dashboard7
Programming languages (12)
Github contributions (5)
operate-first/operate-first-twitter
Apr 2021 - May 2022
This repository will be used to publish tweets collaboratively from the Operate First shared Twitter Account.
Contributions:73 reviews, 16 PRs, 6 pushes in 1 year
twittertwitter-apisocial-media
redhat-et/time-to-merge-tool
Sep 2022 - Jan 2023
The time to merge model predicts the time that it will take to merge a new Pull Request on a Git Repository. The TTM model is a classification model which classifies the time taken to merge a PR falls into one of a few predefined time ranges.
Contributions:2 releases, 26 reviews, 258 commits in 4 months
classification-model
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