Summary
Marcelo Ribeiro is a Senior Data Scientist with nine years of experience applying statistics and machine learning to solve real-world problems across fintech, real estate, IoT, e-commerce and logistics. He has driven production-ready solutions at companies like Nubank, Loft and IBM, specializing in fraud prevention, city-level pricing and predictive maintenance using Databricks, BigQuery, Azure/GCP/AWS and modern ML stacks (Scikit-learn, PyTorch, TensorFlow). Marcelo combines strong engineering practices (OOP, modularization, CI with GitHub Actions) with rigorous validation and impact analysis, having demonstrated multi-hundred-thousand-dollar annual savings on IoT projects and large accuracy improvements in product models. Comfortable collaborating with data engineers, MLOps and product teams, he blends academic training in mathematical modeling with hands-on deployment experience. Based in Rio de Janeiro, he brings a rare mix of cross-domain breadth and production-focused depth that consistently improves maintainability and business outcomes.
9 years of coding experience
11 years of employment as a software developer
Master's degree Mathematical Modeling, Master's degree Mathematical Modeling at FGV - Fundação Getulio Vargas
Master's degree Political Science and Government, Master's degree Political Science and Government at UERJ
Pontifical Catholic University of Rio de Janeiro
English, French, Portuguese