Summary
Gabriel Fuhr is a Lead Data Scientist with eight years of experience building production ML systems and scalable data pipelines across media, finance, and enterprise markets in Brazil and the US. He blends an MBA in Data Science from USP, a Udacity Data Architect Nanodegree and Harvard Business School Online CORe training to tightly align technical solutions with business outcomes. At Grupo RBS and Acadia he designed recommendation engines and serverless ML workflows processing millions of daily events, cutting cloud costs by up to 75% through automation. Comfortable as a hands-on engineer and team builder, he has led data platform design, ETL and event-driven architectures, and credit-risk and NLP models for memory-constrained environments. Fluent in English from freelance work with international clients, he’s known for turning research insights into operational products and for founding a university Machine Learning club that seeded his practical teaching and mentoring approach.
7 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Federal de Santa Maria
CORe Credential of Readiness, CORe Credential of Readiness at Harvard Business School Online
Master of Business Administration - MBA, Data Science, Master of Business Administration - MBA, Data Science at USP - Universidade de São Paulo
Nanodegree, Data Architect, Nanodegree, Data Architect at Udacity
English, Portuguese