Moumita Saha is a Senior Research Scientist at Philips Research India, bringing over 12 years of experience in machine learning applications. They hold a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology, Kharagpur, where their thesis focused on machine learning algorithms for predicting the Indian summer monsoon. Previously, Moumita served as a Postdoctoral Research Associate at the University of Colorado Boulder and worked at the Indian Institute of Science, contributing to climate change studies through machine learning methods. Skilled in various programming and analytical tools, they are passionate about utilizing machine learning and deep learning to tackle challenging problems across diverse fields.
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