Summary
Pedro Marcelino is a data scientist with 11 years of experience combining machine learning, high-performance computing and applied research across finance and public health. Based in São Paulo, he develops end-to-end solutions in Python and R, optimizes compute-heavy code in C/C++ and Fortran, and currently applies online learning and recurrent neural networks in his MSc research to improve early sepsis detection. At Itaú Unibanco he translates data-driven models into production value, while earlier roles at Fiocruz, UFBA and SENAI CIMATEC reflect deep expertise in large-scale ETL, parallel optimizations and evolutionary hyperparameter tuning. He built a public COVID-19 monitoring platform for Bahia during 2020, illustrating a knack for rapid, impact-focused projects that bridge research and operational systems. An analytical problem solver with formal training from UFBA, ITA and USP, he is particularly interested in healthcare and finance applications of reinforcement learning, image processing and big-data HPC.
11 years of coding experience
5 years of employment as a software developer
Specialization, Data Science, Specialization, Data Science at Instituto Tecnológico de Aeronáutica - ITA
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Federal da Bahia
University of São Paulo
English, Portuguese, Spanish