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Abhijeet Ainapure is a data scientist who currently works at Predictronics. Abhijeet has also worked at Power Solutions International and NSF Industry/University Cooperative Research Center for Intelligent Maintenance Systems (IMS). Ainapure has experience conducting research in machine learning, deep learning, and AI techniques used for predictive analytics. Abhijeet has also applied different signal processing and feature engineering methods to analyze industrial data for condition monitoring. In addition, they have performed ML-based classification and regression analysis for fault detection, diagnostics, and prognostics of industrial systems. Ainapure has also actively participated in globally reputed conferences, data challenges, industry advisory board meetings, and AI forums.

Abhijeet Ainapure's educational career includes a Master of Science in Mechanical Engineering from the University of Cincinnati - College of Engineering and Applied Science, a Bachelor of Engineering in Mechanical Engineering from Savitribai Phule Pune University, H.S.C. in Science from Maharashtra Education Society's Abasaheb Garware College of Arts and Science, and S.S.C. from Symbiosis Secondary School. Abhijeet Ainapure also holds certifications from the University of Cincinnati in Master of Science, Goethe-Institut in Goethe-Zertifikat B1 and A2, Toyota Motor Corporation in Internship certificate, and Goethe-Institut in Goethe-Zertifikat A1.