Summary
Mateus Marcuzzo is a data scientist with a decade of experience combining academic rigor—a Master's in Electrical Engineering focused on machine learning and information theory—with practical delivery of ML-driven software at Stefanini Brasil. He designs data pipelines, automates business processes, builds CI/CD deployments for models, and writes automated tests to make solutions robust and reproducible, with hands-on NLP work among his projects. Comfortable scripting, containerizing services (Docker) and emulating third-party systems, he favors pragmatic, empirical approaches that capture what works to avoid rework and help teammates. A Python and data-science enthusiast with 300+ hours on DataCamp across multiple career tracks, he pairs efficient coding habits and keyboard fluency with a habit of documenting expected outputs and hard-to-catch defects.
10 years of coding experience
HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES, HIGH SCHOOL/SECONDARY DIPLOMAS AND CERTIFICATES at Colégio Militar de Brasília
Mestrado, Electrical, Electronics and Communications Engineering, Mestrado, Electrical, Electronics and Communications Engineering at Universidade de Brasília
English, Portuguese