Arvind Chavan is an Assistant Manager and Lead Data Scientist at KPMG, specializing in machine learning, GenAI, and predictive analytics. With over eight years of experience, they have developed innovative solutions such as a GenAI-driven chatbot for resume selection and an NLP-based material harmonization engine. Previously, Arvind contributed to cash forecasting and demand sensing projects at KPMG India and has held roles at JPMorgan Chase & Co., General Mills, and Eaton Cummins. They hold a Master of Science in Statistics from the University of Pune and a Post-Graduate Program in Cloud Computing from Great Learning.
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