Summary
Rafael Gurgel is a data scientist with 14 years of experience applying AI and predictive analytics to industrial and biomedical domains, currently building data products at Petrobras. With a PhD and M.Eng. in Electrical/Biomedical Engineering from UFMG and a specialization in Data Science and Big Data, he blends deep research rigor with practical production delivery. He has led AI-driven platforms for failure prevention and lifetime estimation in steelmaking at RHI Magnesita and co-founded a biometrics-focused startup accelerated by Startup Farm and iiiNNO. Comfortable moving models from prototype to connected digital products, Rafael pairs domain expertise in automation and control with hands-on platform development. Based in Minas Gerais, Brazil, he brings an uncommon mix of academic depth and entrepreneurial experience that helps translate complex sensor data into actionable industrial insights.
14 years of coding experience
2 years of employment as a software developer
Specialization, Data Science and Big Data, Specialization, Data Science and Big Data at PUC Minas
Master of Engineering (M.Eng.), Electrical Engineering, Master of Engineering (M.Eng.), Electrical Engineering at Universidade Federal de Minas Gerais
Portuguese, English, French