Summary
Ueslei Sutil is a Data Science & Analytics leader with 10 years' experience bridging physical oceanography, numerical modeling and production analytics, currently coordinating Data Science at Bankly. Trained as a physical oceanographer with a master's and extensive fieldwork, he has implemented regional ocean-atmosphere models (COAWST, WRF, ROMS, SWAN, WAVEWATCH3) and led seven Antarctic expeditions to collect and assimilate observational data into high-performance computing workflows. He combines deep Python development and visualization skills with hands-on experience deploying numerical models on supercomputers and building tooling for model construction. An MBA from FIAP complements his technical background with product and business-facing analytics leadership. His work uniquely spans from sensor-level data collection in extreme environments to scaling models and analytics for production decision-making. He maintains an active technical profile online, sharing code and research that reflect his focus on reproducible science and operational modeling.
9 years of coding experience
Fédération Internationale de l'Art Photographique
HSM University
Bacharelado, Bacharelado at Universidade Federal do Paraná
Mestrado, Mestrado at Universidade Federal do Rio Grande do Sul
Italian, English, Portuguese, Spanish