Mary Kumcheva is a data scientist with nine years of analytical experience, currently shaping investment management insights at Franklin Templeton after progressing from Associate Data Scientist. A Princeton BSE graduate in Operations Research & Financial Engineering, she blends rigorous quantitative training with practical finance experience—building financial models, VBA tools, and Snowflake-backed databases to speed analyst workflows. Her background includes hands-on market research and dashboard engineering at Pleasant Lake Partners, where she centralized large financial data resources and improved modeling efficiency. Based in the Washington DC–Baltimore area, she focuses on translating complex datasets into actionable investment decisions and scalable analytics products. An often-overlooked strength is her end-to-end familiarity with both data operations and researcher-facing services, from managing archival library resources to deploying production analytics.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science in Engineering - BSE Operations Research & Financial Engineering, Bachelor of Science in Engineering - BSE Operations Research & Financial Engineering at Princeton University
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