Ravindra Pawase is a data scientist with nine years of experience applying machine learning to enterprise problems, currently developing and deploying models at Cummins after progressive leadership roles at Icertis and Persistent Systems. He blends an academic research background in observational astrophysics from EPFL and hands-on industry ML engineering, having transitioned from research and teaching into leading ML teams and architecture. Known for guiding end-to-end ML projects—from prototyping to production—he brings deep domain rigor and a habit of translating complex research problems into pragmatic business solutions. Based in Pune, he pairs mentorship and technical ownership with practical systems thinking, and his career path reflects a rare mix of astrophysics research discipline and enterprise-scale ML delivery.
9 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Fergusson College
Bachelor of Science (BSc), Physics, Bachelor of Science (BSc), Physics at Sangamner College
Observational Astrophysics, Observational Astrophysics at Ecole polytechnique fédérale de Lausanne
pyCallisto is a python module which is collection of some utility functions useful for plotting, slicing, joining, generating lightcurves and "frequencycurves" from the radiohelliospectrometer data like Callisto.
Contributions:20 commits, 31 pushes, 1 branch in 4 years 9 months
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