Summary
Igo Barros is a Senior Data Scientist with eight years of hands-on experience building end-to-end ML solutions, currently leading data science for Emana Pay Latam at Natura. He has deep credit and financial modeling expertise—developing application and behavior scoring, credit limit strategies, fraud detection, and forecasting models—plus practical production experience deploying and monitoring models with tools like Provenir, Snowflake and GCP. Comfortable across the stack, he engineers data pipelines, model monitoring bots and APIs using Python, SQL, MongoDB and Airflow, and has a background in full‑stack web development that helps bridge data and product teams. His academic start in unsupervised statistics and NLP informs a pragmatic approach to interpretability and model governance, making him effective on both research and operational fronts.
8 years of coding experience
6 years of employment as a software developer
Estácio de Sá University
Portuguese, English