Summary
Augusto Ferrari is a Data Science Specialist with 11 years of experience applying mathematical rigor to real-world business problems across insurance and telecom in São Paulo. Trained in Computational and Applied Mathematics at USP, he builds production-grade ML systems—ranging from XGBoost-based scoring pipelines managed with MLflow to TF-IDF clustering and genetic-algorithm simulations for network design. At SulAmérica he delivered models and interactive Flask/Plotly-Dash tools that improved claims handling, pricing accuracy and provider-network planning, and now brings that applied expertise to American Tower Latin America. Comfortable in R and Python and learning Julia, he pairs classical optimization thinking with modern ML practices and a pragmatic focus on deployability and regulatory constraints. An often-overlooked strength is his experience translating complex actuarial and geospatial rules into automated, explainable workflows that stakeholders can trust.
11 years of coding experience
8 years of employment as a software developer
University of São Paulo