Rafat Siddiqui is a skilled data scientist with extensive experience in people analytics and data science, currently working at Shell since January 2023. At Shell, Rafat delivered a workforce planning project utilizing machine learning techniques, achieving over 95% accuracy and saving $3 million in consulting fees. Previously, as a Data Science & Analytics Consultant at Ugam, Rafat led a project for The Home Depot optimizing SKUs and vendor negotiations through data integration and live analysis of 71 million records. Rafat's experience includes a Data Scientist role at the Indian Institute of Technology, Madras, focusing on decision trees and boosting methods, as well as a strong foundation in machine learning gained at Data Science Immersion. An accomplished senior manager at HDFC Bank, Rafat employed predictive analytics to detect fraud, resulting in substantial savings for the bank, and developed financial models at Yes Bank, securing significant transactions. Rafat holds a Master of Management Studies in Finance from Jamnalal Bajaj Institute of Management Studies and multiple degrees from St. Xavier's College.
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