Denner Bocardi is a Senior Data Scientist with 11 years of experience building and operationalizing credit-risk and collection models across fintech and banking in Brazil. He designs end-to-end modeling pipelines—sample creation in SQL, feature engineering with pandas/polars/spark, and production models using LightGBM, XGBoost and scikit-learn—while partnering closely with credit policy teams to turn models into actionable policy. His work has driven measurable business impact, including a 12% lift in email conversion and a 10% improvement in recovery performance, and he maintains model health through KS, AUC and PSI monitoring. He also builds reusable tooling and internal libraries to improve MLOps maturity and team productivity. Comfortable with simulations and experimentation, he has used Monte Carlo methods to assess payroll-loan profitability and run A/B tests to shape collection strategy. Based in São Paulo, he combines a strong mathematical background (Master’s in Geometry from USP) with practical production experience at Mercado Livre, Neon and Bradesco.
11 years of coding experience
3 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Universidade Estadual Paulista Júlio de Mesquita Filho
Master's degree Mathematics (Geometry), Master's degree Mathematics (Geometry) at USP - Universidade de São Paulo
Contributions:2 PRs, 11 pushes, 1 branch in 2 years 6 months
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