Summary
Matheus Leal is a data scientist with nine years of experience blending predictive modeling, data mining and full-stack development to tackle public-sector and civic-society problems. Currently at Sigalei, he has recently focused on big data projects and architectural challenges, having previously built monitoring and forecasting systems for legislative movements and municipal school-feeding regulation risks. He holds a bachelor’s and is pursuing a master’s in Computer Science from Universidade Federal de Campina Grande, grounding his applied work in rigorous research. Comfortable across the stack, Matheus brings an uncommon mix of R&D, production engineering and policy-oriented analytics that turns complex public data into actionable insights.
9 years of coding experience
2 years of employment as a software developer
Mestrado, Computer Science, Mestrado, Computer Science at Universidade Federal de Campina Grande