Summary
Osmary Glober is a Senior Data Scientist with a decade of experience building production-ready ML solutions and data pipelines across industry and academia in Brazil. She combines hands-on model development in scikit-learn, PyTorch and TensorFlow with strong ETL, statistical analysis and visualization skills, and has deployed work spanning recommendation systems, causal inference, clustering and LLMs. Her background includes data engineering and systems roles at ExxonMobil and teaching IT at Universidade Positivo, which gives her a rare blend of production rigor and ability to communicate complex results to diverse stakeholders. Currently at CESAR, she thrives in fast-paced, international agile teams and leverages a master’s focus in computer vision to bring rigorous experimental design to applied problems.
10 years of coding experience
7 years of employment as a software developer
Mestrado em Computaçāo Aplicada Visão Computacional, Mestrado em Computaçāo Aplicada Visão Computacional at Federal University of Technology - Parana
Sistemas de Informação, Sistemas de Informação at Universidade Positivo