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Amit Pingale is a seasoned data scientist with substantial experience across various companies, currently serving as Lead Data Scientist at Ring and Kissht since November 2021. Amit specializes in data mining and natural language processing (NLP), employing techniques like BERT and DistilBERT to enhance credit underwriting decisions and customer behavior analysis. Expertise includes developing TFX pipelines on AWS SageMaker, crafting application and behavioral scorecards, and leveraging machine learning models for investment portfolio optimization and competitor analysis. Prior roles include Senior Data Scientist at Una Brands and Machine Learning Engineer at Kmedia, with contributions to scalable data systems and sentiment analysis. Amit holds a Master's degree in Information Systems from Northeastern University and a Bachelor's degree in Electrical and Electronics Engineering from the University of Mumbai.