Mandar Parkar is a data scientist at Caterpillar Inc., where recent contributions include leading the Injector Expansion project and refactoring the Python codebase. Prior to this role, Mandar completed internships focusing on data science and analytics, notably programming a rule-based model for predicting injector failures and optimizing parts demand predictions using machine learning. Educational qualifications include a Master of Science in Information Management from the University of Illinois at Urbana-Champaign and a Bachelor of Technology in Mechanical Engineering from KJ Somaiya College of Engineering. Previous experience spans roles as an algorithm developer at the National Organization for Business and Engineering and a full stack software engineer at Accenture, where Mandar developed an inventory management system and an IBM Watson Chatbot.
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