Lucas Diniz is a Data Scientist with eight years of experience applying machine learning and computer vision to solve high-impact problems for public and private sector organizations in Brazil. With an MSc in Electrical Engineering and a postgraduate specialization in Data Science and Analytics, he has built deep learning models for object detection and classification and deployed risk-detection systems that helped prevent over R$300 million in improper unemployment benefit payments. He blends research-grade knowledge of state-of-the-art vision techniques with pragmatic production delivery, having developed monitoring dashboards and fraud-detection rules used in large-scale public programs. Currently at CVM, he brings a track record of turning complex data into auditable decisions and operational savings, and a background that spans both hands-on model development and analytics-driven policy support.
8 years of coding experience
3 years of employment as a software developer
Pontifical Catholic University of Rio de Janeiro
Master of Science Electrical Engineering, Master of Science Electrical Engineering at Universidade Federal de Juiz de Fora
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