Cynthia Vint is a data scientist with a decade of experience building scalable, production-ready analytics and machine learning solutions across security, healthcare, and enterprise domains. Currently a Lead Data Scientist at Mars, she blends time-series forecasting, Bayesian risk modeling, and scalable algorithms to turn messy data into actionable insights. Her background includes transforming analyst expertise into peta-scale detection algorithms at BlueVoyant and automating audit and validation pipelines at KPMG US, where she also helped win an internal hackathon with geographic and temporal visualizations. Trained in computer information systems (Boston University) and fluent in Arabic-adjacent studies from Emory, she brings both technical depth and interdisciplinary perspective to data problems. Notably, she has built O(N) detection algorithms and designed MySQL-backed analytic platforms and interactive Plotly Dash demos that bridge prototypes to client-ready tools.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Near and Middle Eastern Studies, Music, Bachelor of Arts (B.A.), Near and Middle Eastern Studies, Music at Emory University
Master’s Degree, Computer Information Systems, 3.8, Master’s Degree, Computer Information Systems, 3.8 at Boston University
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