Summary
Lucas Daher is a data scientist with nine years of experience applying machine learning to business and operational problems, currently contributing to audit innovation at Itaú Unibanco while pursuing a master's focused on ML for wind turbine fault detection. Trained in computer engineering and science & technology, he blends academic rigor from research at the Instituto de Aeronáutica e Espaço with hands-on MLOps and production deployment experience using Python and AWS. He has driven measurable cost savings and risk mitigation across asset management, procurement and marketplace domains by turning hypotheses into validated, scalable models. Comfortable bridging technical and business stakeholders, he designs experiments and controlled tests to ensure analytical approaches deliver real value. Outside work he gravitates toward quantum physics and unconventional thinking, a reflection of his curiosity-driven approach to problem solving.
9 years of coding experience
Mestrado em Ciências da Computação, Aprendizado de Máquina, Mestrado em Ciências da Computação, Aprendizado de Máquina at Unifesp - Universidade Federal de São Paulo
French, English