Summary
Sergio Pessoa is a Data Scientist and Computer Engineering graduate from UFPE with eight years of experience applying data engineering, ML modeling and advanced visualization to professional football analytics. He has handled ETL and API ingestion from providers like StatsBomb, SkillCorner and Wyscout, built predictive models and automated dashboards using Python, R, Streamlit, Shiny and Plotly, and worked directly with clubs to improve performance-driven decisions. His background includes production-focused data pipelines and SQL systems plus hands-on work at XP Inc. automating trading desk workflows, which gives him a pragmatic blend of analytics and operational automation. Active on Kaggle and GitHub, Sergio bridges research and applied analytics to turn complex spatiotemporal sports data into actionable insights for teams and stakeholders.
7 years of coding experience
3 years of employment as a software developer
Bacharelado Engenharia de Computação, Bacharelado Engenharia de Computação at Centro de Informática UFPE