Summary
Bruno Crotman is a seasoned Data and Business Scientist with 25 years of experience, currently applying statistical learning, heuristic optimization and R/Python engineering to energy research at Brazil's Energy Research Office and Petrobras. He blends deep quantitative finance experience—having built and managed quantitative funds and ALM-aware strategies—with nearly a decade of energy-sector analytics spanning economic, social and environmental datasets. A specialist in R (tidyverse, shiny, tidymodels, devtools, testthat, golem) and a proponent of software-engineering best practices in data science, he also develops dashboards and training programs to make complex models accessible to analysts and the public. His background in leading software projects and DB deployments at Lab245 and in real-time trading systems gives him rare end-to-end fluency from data engineering to production models. Currently a PhD candidate researching game theory, optimization and statistical learning, he combines academic rigor with hands-on delivery and mentorship.
9 years of coding experience
22 years of employment as a software developer
Ph.D., Computer Sciences, Ph.D., Computer Sciences at Federal University of the State of Rio de Janeiro (UNIRIO)
Computer Sciences, Computer Sciences, Mathematics, Statistics, Linear Algebra, Number Theory, Prime Numbers, Computer Sciences, Computer Sciences, Mathematics, Statistics, Linear Algebra, Number Theory, Prime Numbers at Federal University of Rio de Janeiro (UFRJ)
English