Summary
Guillaume Dreyer is a data science consultant and mathematician with 11 years of experience turning complex data into production-ready pipelines, predictive models, and interactive data products. Based in Los Angeles, he combines startup pragmatism and academic rigor—holding a PhD in mathematics and a history of teaching and postdoctoral research—to bridge theory and applied analytics. At Fanbank he architects integrations across many APIs and databases, builds automation and Slack reporting tools, and creates dashboards and ML solutions that directly support sales and marketing operations. He is equally comfortable with deep technical tasks like feature engineering and statistical inference and with product-focused work such as Shiny apps and visualization tooling. An avid learner and former seminar organizer, he brings a proven ability to mentor others and translate mathematical insight into business impact.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics, Doctor of Philosophy (Ph.D.), Mathematics at University of Southern California
Bachelor's Degree, Mathematics and Physics, Bachelor's Degree, Mathematics and Physics at Lycée Kléber and Université de Strasbourg
English, French, German