Summary
Melanie Manguin is a Staff Data Scientist in the Bay Area with 11 years of experience building product-facing analytics and ML solutions across payroll, benefits, rideshare, cybersecurity, and energy domains. A UC Berkeley and École des Ponts alumnus, she combines rigorous operations research training with hands-on experimentation to drive data-informed product decisions and measurable business impact. At companies like Gusto and Lyft she translated complex product questions into metrics and tests that materially improved conversion, retention, and monetization. She’s equally comfortable building production forecasting models (wind power forecasting, fraud detection, leak detection) and designing constrained optimization systems for allocation and recommendations. Passionate about social and environmental impact and women’s empowerment in tech, she brings cross-functional leadership, curiosity, and a perfectionist’s attention to detail to every project. Outside work she’s an avid runner and violinist, a hint of the discipline and creativity she applies to data problems.
11 years of coding experience
4 years of employment as a software developer
Master’s Degree Industrial Engineering and Operations Research, Master’s Degree Industrial Engineering and Operations Research at University of California, Berkeley
Master’s Degree Industrial Engineering and Operations Research, Master’s Degree Industrial Engineering and Operations Research at Ecole Nationale des Ponts et Chaussées
Classe préparatoire aux Grandes Ecoles PCSI/PSI*, Classe préparatoire aux Grandes Ecoles PCSI/PSI* at Lycée Chateaubriand
Master's degree Industrial Engineering/ Operations Research, Master's degree Industrial Engineering/ Operations Research at École nationale des ponts et chaussées
French, English, Spanish, Chinese