Roberto Pontes is a Data Team Lead at Itaú Unibanco with eight years of experience building and operationalizing data science solutions across banking, retail and energy sectors. He combines hands-on modeling (propensity, recommendation and NLP) with people leadership, having led analytics engineering teams and coordinated R&D initiatives that reduced operational analysis time and improved conversion metrics. His work in daily banking delivered measurable lifts—e.g., a ~3.5% conversion gain from personalized card recommendation ordering—and he has driven deployments that move models from research into production. Roberto also teaches data science topics (Python, SQL, NumPy/Pandas) to corporate partners, translating advanced techniques into practical skills for industry teams. With a master’s in computer science and a background in mechatronics, he blends rigorous academic training with systems thinking and a knack for integrating structured and unstructured data. Based in São Paulo, he is adept at turning complex data problems into scalable, business-impacting solutions.
8 years of coding experience
11 years of employment as a software developer
Pós-graduação Lato Sensu em Big Data, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES, Pós-graduação Lato Sensu em Big Data, COMPUTER AND INFORMATION SCIENCES AND SUPPORT SERVICES at Descomplica
Mestrado em Ciências da Computação, Computer Science, Mestrado em Ciências da Computação, Computer Science at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
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