Summary
Lourenço Guimarães is a Senior Data Scientist based in São Paulo with 5 years of experience building scalable data products and forecasting systems across retail and consumer goods. Trained as a physicist and applied mathematician, he combines rigorous quantitative modeling (SARIMAX, XGBoost, CatBoost) with production-grade engineering using PySpark, MLflow, Databricks and AWS to move models from research into reliable pipelines. He has driven demand-forecast migrations, automated model competition and developed stakeholder-facing dashboards to reduce stockouts and measure product cannibalization. Recent roles at Mercado Livre and Ipiranga follow hands-on deployments at Nestlé and IBM, reflecting a mix of enterprise-scale impact and reproducible ML practices. Colleagues describe him as someone who bridges deep analytical curiosity with pragmatic system design—applying tools from physics research to tame real-world business dynamics.
5 years of coding experience
4 years of employment as a software developer
Estudante de Intercâmbio, Estudante de Intercâmbio at École Cariboo Hill Secondary School
University of São Paulo
Bachelor of Science - BS, Applied and Computational Mathematics, Bachelor of Science - BS, Applied and Computational Mathematics at Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP)