Wrijupan Bhattacharyya
Senior Data Scientist
Amstelveen, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolWrijupan Bhattacharyya is a Senior Data Scientist at Tesla in Amsterdam with 9 years of experience blending astrophysics rigor and industry-grade machine learning to drive high-impact business decisions. A former astrophysicist who contributed to the discovery of the first extragalactic neutrino source, he brings deep expertise in predictive modelling, causal ML, and production deployment across pricing, demand forecasting and voucher optimisation for multi-market rollouts. Technically fluent in Python, SQL and statistical modelling, he has hands-on experience from telescope signal processing (contributions to the ctapipe hillas parameterisation) to real-time pricing systems in Latin America. Comfortable across the full data lifecycle, he pairs quantitative creativity with stakeholder-facing influence to turn complex experiments into measurable business outcomes.
9 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology MadrasBachelor of Science - BS Physics, Bachelor of Science - BS Physics at St. Xavier's College (Autonomous), KolkataHigh School , High School at Ramkrishna Mission Vidyalaya, NarendrapurDoctor of Philosophy - PhD Astronomy and Experimental Physics, Doctor of Philosophy - PhD Astronomy and Experimental Physics at Humboldt-Universität zu Berlin
English, Bengali, German
Github Skills (5)
python10
scientific-computing10
image-processing10
numpy10
astronomy9
Programming languages (1)
Github contributions (5)
cta-observatory/ctapipe
Aug 2016 - Sep 2016
Low-level data processing pipeline software for CTAO or similar arrays of Imaging Atmospheric Cherenkov Telescopes
Role in this project:
Data Scientist
Data ScientistContributions:12 commits, 6 PRs, 20 comments in 11 days
Contributions summary:Wrijupan primarily contributed to the `ctapipe/reco/hillas.py` module, which is focused on image parameterization for astronomical data. Their work involved implementing higher-order image parameters, as well as fixing calculation issues related to length, width, and miss parameters. The user also added a test script to validate the changes, ensuring the correct functioning of the hillas parameter calculations. Additionally, the user introduced error handling by raising an exception for specific parameterization issues.
arraypipelinedata-processingprocessing-pipelineastronomy
wrijupan/blazar_model
May 2017 - Feb 2018
Contributions:86 pushes, 2 comments, 4 issues in 8 months
agntime-dependent
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