Summary
Mateus Catrinque is a Cybersecurity Data Scientist with eight years of experience applying machine learning and site reliability practices to large-scale systems. He built behavioral credit scoring models at Kunumi using Python, Spark, and Databricks, focusing on feature engineering and robust model validation from diverse data sources. Before transitioning to data science, he spent over a decade as a Site Reliability Engineer at Prodabel, bringing deep operational insight to model deployment and incident-resistant pipelines. Currently at the Ministério Público de Minas Gerais, he combines cybersecurity priorities with data-driven detection and response work. He is pursuing an M.Sc. in Computer Science at UFMG with research in spatial data processing, a less obvious thread that informs his approach to geospatially aware analytics. Based in Minas Gerais, Brazil, Mateus blends academic rigor with production-hardened engineering to deliver auditable, scalable ML solutions.
8 years of coding experience
15 years of employment as a software developer
Master of Science - M.Sc., Computer Science, Master of Science - M.Sc., Computer Science at Departamento de Ciência da Computação - UFMG
Bachelor's degree, Computer Technology/Computer Systems Technology, Bachelor's degree, Computer Technology/Computer Systems Technology at UFMG
English, Portuguese