Summary
Eduardo Denadai is a VP of AI and Data Science with nearly two decades of experience applying machine learning, statistical modeling, and systems engineering to regulated financial services and industrial domains. He has led cross-functional teams from hands-on ML engineering to strategic product decisions, building risk, behavioral and NLP systems at banks and launching data-driven products for clients. His background spans nuclear engineering research and AI (MSc, University of Bath; postgraduate work at Oxford), giving him uncommon expertise in simulation, high-performance computing and applied ML. Comfortable at the intersection of research and production, he has delivered end-to-end solutions on Hadoop/Spark ecosystems and operationalized IFRS9 and propensity models under strict governance. Known for turning complex, noisy data into business impact, he also brings experience in hardware/embedded projects and patent-driven engineering leadership that informs pragmatic, scalable designs.
9 years of coding experience
12 years of employment as a software developer
Postgraduate Degree, Financial Machine Learning, Postgraduate Degree, Financial Machine Learning at University of Oxford
Master of Science in Artificial Intelligence , Artificial Intelligence, Master of Science in Artificial Intelligence , Artificial Intelligence at University of Bath
Nuclear Engineering, Nuclear Engineering, Nuclear Engineering, Nuclear Engineering at Texas A&M University
Certificate, Coginitive Artificial Intelligence EASE Fall School, Certificate, Coginitive Artificial Intelligence EASE Fall School at University of Bremen
English, Spanish, Portuguese