Prince Grover

Prince Grover is an accomplished Senior Applied Scientist at Amazon, specializing in machine learning applications to identify risky behaviors of Amazon Associates and enhance the Advertising Partner Network. Prior to this role, Prince served as a Research Scientist II at Amazon Web Services, contributing to the Amazon Fraud Detector with a focus on fraud detection through innovative machine learning techniques. Earlier experience includes roles as a Research Scientist at Manifold, where work involved MLOps and predictive modeling, and as a Machine Learning Engineer Intern at Altisource, providing data-driven business recommendations. Prince's career began with consulting at Capgemini and a brief stint as a Petrophysicist at Oil and Natural Gas Corporation Ltd. Educational credentials include a dual Bachelor's and Master's degree in Geophysics from the Indian Institute of Technology, Roorkee, and a Master's in Data Science from the University of San Francisco.