Prasant Rout is a Postdoctoral Researcher at CERN with 9 years of experience in experimental high-energy physics, specialising in Monte Carlo simulations, gaseous ionization detector instrumentation, and machine-learning methods (NN, DNN, BDT, XGBoost, SKLearn). He previously spent seven years as a Research Fellow at the Saha Institute of Nuclear Physics and holds an M.Sc. in Physics from Utkal University. His work blends hands-on detector R&D with advanced analysis techniques, and he contributes to the prominent CMS Offline Software (cmssw) project by implementing and testing electron and photon MVA identification for Run 3. Comfortable with LaTeX and Python-based configuration workflows, he brings both rigorous research practice and production-oriented software contributions. Colleagues praise his methodical simulation expertise and his knack for translating complex physics algorithms into maintainable code. Trusting his journey, he combines deep domain knowledge with practical open-source impact in a global collider experiment environment.
9 years of coding experience
M.Sc, Physics, M.Sc, Physics at Utkal University, Bhubaneswar
B.Sc, Physics, B.Sc, Physics at Dhenkal Autonomous College
Higher secondary, Higher secondary at Jiral College, Jiral, Dhenkanal
Contributions:6 reviews, 12 commits, 9 PRs in 1 month
Contributions summary:Prasant primarily focuses on modifying and testing the Electron and Photon MVA ID in the context of the CMS Offline Software project. Their commits involve changes to Python configuration files (`.cfg.py`) related to Electron and Photon Identification, specifically for the Run3 era. These modifications include updating the GlobalTag, input files, and the definition of MVA IDs, as well as adjusting the NanoAOD configuration to include the MVA ID information.
Contributions:2 PRs, 15 pushes, 2 branches in 2 years 11 months
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