Audrey Bertin is a data scientist with eight years of experience applying statistical rigor and machine learning to finance, cybersecurity, and public health problems, currently leading an ML pipeline at MassMutual that predicts global startup success. She moves projects end-to-end—from scoping and stakeholder-facing presentations to production maintenance—and mentors junior colleagues while owning tooling in both R and Python. Audrey has hands-on generative AI experience producing marketing content and summarizing investment memos, and she pairs that with strong visualization and automation skills (Plotly/Dash, automated reporting, database querying). Academically grounded with a 4.0 BA in Statistical & Data Sciences and a 3.93 MS in Computer Science, she also contributes to reproducible research tooling (an R package on GitHub) and edits data-focused policy scholarship at MIT, showing a rare blend of technical, communicative, and policy-minded strengths.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Arts - BA, Statistical and Data Sciences w/ Minor in Public Policy, 4.0 GPA, Summa cum laude, Highest departmental honors, Bachelor of Arts - BA, Statistical and Data Sciences w/ Minor in Public Policy, 4.0 GPA, Summa cum laude, Highest departmental honors at Smith College
Master of Science - MS, Computer Science, 3.93 GPA, Master of Science - MS, Computer Science, 3.93 GPA at University of Massachusetts Amherst
Diploma (Distinguished Achievement Plan), 109.1 GPA, Diploma (Distinguished Achievement Plan), 109.1 GPA at Westlake High School
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