Harsha Payidiparty is a Senior Data Scientist at RBC, specializing in AI solutions and technology operations, with a track record of deploying AI-powered models that enhance sales efficiency and client engagement, driving substantial projected revenue growth for RBC. Previous experience includes subject-matter expertise in predictive modeling within Business Financial Services, development of an MVP for RBC Ventures, and efficiency improvements through software development at BMO Financial Group. Additionally, Harsha contributes to academia as a Graduate Teaching Assistant at Smith School of Business, focusing on AI and data management, while serving on the Program Advisory Committee for Seneca College, providing strategic guidance for the Business Technology Management program. Harsha holds a Master of Management Analytics from Smith School of Business and a Bachelor of Commerce in Business Technology Management from Seneca Polytechnic, complemented by a Bachelor of Science in Computer Science from the University of Toronto Mississauga.
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