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
13 years of employment as a software developer
Postgraduate Degree Financial Machine Learning, Postgraduate Degree Financial Machine Learning at University of Oxford
Certificate Coginitive Artificial Intelligence EASE Fall School, Certificate Coginitive Artificial Intelligence EASE Fall School at University of Bremen
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
English, Spanish, Portuguese