Summary
Bruno Sette is a data scientist with 10 years of experience who blends academic rigor—currently pursuing a PhD in Computer Science at UFSCar—with practical industry impact across retail and enterprise environments. He specializes in deep learning for multi-label hierarchical classification, a niche he explores across diverse data types while moving research into production during roles at Americanas, Softplan, and now Sólides. His background includes an MSc in Machine Learning and early research training via PIBIC/CNPq, giving him a strong foundation in experimental design and reproducible ML pipelines. Based in São Paulo, he has progressed from internship work to senior data scientist positions, demonstrating an ability to scale models from proof-of-concept to operational systems. Less obvious: he combines hands-on engineering with academic publication goals, positioning him to bridge cutting-edge research and business-driven ML solutions.
10 years of coding experience
MSc Machine Learning, MSc Machine Learning at UFSCar - Alumni
Bachelor Computer Science, Bachelor Computer Science at UFMT - Universidade Federal de Mato Grosso
Computer Network Technician Computer Science, Computer Network Technician Computer Science at SENAI Jandira