Summary
Anna Gomes is a data scientist with 8 years of experience building end-to-end, production-ready analytics and ML systems across logistics, finance, and agribusiness. She combines strong Python and time-series expertise with cloud and container deployment skills (AWS/Azure, Docker) to automate reporting, scale forecasting pipelines, and deliver impactful dashboards. Notable wins include a YOLOv8 detection pipeline and an active learning system that cut annotation costs by 70%, plus an automated P&L pipeline that replaced error-prone Excel processes. Currently pursuing a Master’s in Software Engineering after a postgraduate degree in AI, she brings engineering rigor to model reliability and CI testing. Based in Brazil, she blends a mathematician’s problem-solving mindset with hands-on tooling—Databricks, SQL, OpenCV and Pytest—to turn complex data into actionable business decisions.
8 years of coding experience
4 years of employment as a software developer
Environmental Engineering Engenharia Ambiental, Environmental Engineering Engenharia Ambiental at Universidade Federal Fluminense
Master's Degree in Software Engineering Generative AI, Master's Degree in Software Engineering Generative AI at Universidade Federal do Pampa
Postgraduate degree in artificial intelligence applied to industry Inteligência Artificial aplicada à Indústria, Postgraduate degree in artificial intelligence applied to industry Inteligência Artificial aplicada à Indústria at Advanced Institute for Artificial Intelligence
Pontifical Catholic University of Rio de Janeiro
Portuguese, French, English