Harsha Payidiparty is a Senior Data Scientist at RBC since May 2022, specializing in AI solutions for technology and operations. Harsha has successfully deployed AI models that generate targeted business client leads, contributing to significant projected revenue growth. Previously, Harsha served as a subject-matter expert for predictive models forecasting life events at RBC, with applications in various business lines. Additionally, Harsha is a Graduate Teaching Assistant at the Smith School of Business at Queen's University and a Board Member for Seneca College's Business Technology Management program, providing industry-relevant guidance. Early career experiences include roles as a Data Scientist and Software Developer, contributing to innovations in data applications and efficiency enhancements. Harsha holds a Master of Management Analytics from Queen's University and a Bachelor's degree in Business Technology Management from Seneca Polytechnic, along with a Bachelor's degree in Computer Science from the University of Toronto Mississauga.
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