Mandar Chandorkar is a Senior Data Scientist with 11 years’ experience applying machine learning, applied mathematics and physics to build production-scale data platforms. He has led ML teams and shipped IoT-ready, compressed models and large-scale training pipelines (300+ GB) for dairy-tech at Connecterra and now drives advanced analytics at Datamars. His PhD work at CWI/INRIA combined physics-informed ML and forecasting for space weather, including an ICLR-published method for disturbance propagation time estimation. Comfortable moving models from research to constrained edge deployments, he blends rigorous academic foundations with hands-on engineering and a knack for turning physical-system insights into robust, deployable ML services.
11 years of coding experience
11 years of employment as a software developer
Master's Degree, Artificial Intelligence, Master's Degree, Artificial Intelligence at KU Leuven
Doctor of Philosophy - PhD, Computational and Applied Mathematics, Doctor of Philosophy - PhD, Computational and Applied Mathematics at Eindhoven University of Technology
Bachelor of Technology (B.Tech.) & Master of Technology (M.Tech), Manufacturing Engineering & Industrial Engineering, Bachelor of Technology (B.Tech.) & Master of Technology (M.Tech), Manufacturing Engineering & Industrial Engineering at Indian Institute of Technology, Kharagpur
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