Summary
Purva Gevaria is a data-focused analyst and engineer with 8+ years of experience delivering analytics, ETL, and risk solutions across banking, finance, and IoT domains. Currently working in credit risk analytics at Morgan Stanley Canada, she combines Python, SQL and Power BI to build scalable pipelines, predictive models, and automated reporting that reduce risk and accelerate decisions. Her background spans hands-on data engineering (Spark, cloud migrations), ML modeling (time series, A/B testing), and production integrations (APIs, CI/CD), reflecting a full-lifecycle approach from data ingestion to visualization. Notably, she has improved deployment speed and query latencies in production systems and engineered sub-second IoT feedback loops for retail inventory. A dual postgraduate student in Data Analytics and AI at Durham College, she pairs practical enterprise experience with recent academic training and is open to roles across Data Analytics, BI, Risk Analytics, and Data Engineering in Canada.
8 years of coding experience
5 years of employment as a software developer
Postgraduate Degree, Artificial Intelligence Analysis, Design and Implementation, Postgraduate Degree, Artificial Intelligence Analysis, Design and Implementation at Durham College
Bachelor of Technology, Information Technology, Bachelor of Technology, Information Technology at Gujarat Technological University
Bachelor of Engineering (B.E.), Information Technology, Bachelor of Engineering (B.E.), Information Technology at Atmiya Institute of Engineering