Summary
Rafael Rui is a Senior Data Scientist with nine years of experience blending academic rigor—Ph.D. in electrical engineering and a physics undergraduate—with hands-on machine learning product delivery in supply chain, consumer goods, and platform settings. He has led and mentored teams, built end-to-end forecasting and recommendation systems, and operationalized models with Luigi, Docker, Kubernetes and cloud tooling across international markets. His background in statistical inference, identifiability analysis and Bayesian filtering informs robust solutions for time series, demand forecasting and churn problems, often combining classical methods with gradient-boosted and deep learning models. Currently at Instagram/Meta in London, he brings both research-grade expertise (particle filters, Kalman methods) and practical deployment experience from roles at HelloFresh and TOTVS. An avid reader of new ML papers, he routinely experiments with state-of-the-art algorithms and translates them into measurable business impact.
9 years of coding experience
6 years of employment as a software developer
Graduação em Física (Bacharelado), Física, Graduação em Física (Bacharelado), Física at Universidade Federal do Rio Grande do Sul / UFRGS
English, French, Portuguese