Diogo Barreto
Data Scientist
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolDiogo Barreto is a Data Scientist and physicist with 8 years of experience applying machine learning, model risk management, and data engineering to credit and financial problems. He has built and validated predictive models for credit scoring, income prediction, forecasting and segmentation, and has driven MLOps and model validation frameworks in production using Python, PySpark, SQL, Databricks, MLflow and Azure. At Stone and PwC he helped establish governance and data pipelines—creating a custom Python package to standardize validations and connectors to integrate NoSQL into enterprise data catalogs. Combining a PhD in Quantum Information from USP with hands-on engineering, he brings rigorous analytical thinking to practical, auditable model deployment. Based in São Paulo, he balances high-assurance model governance with pragmatic data engineering to accelerate business value in regulated environments.
8 years of coding experience
4 years of employment as a software developer
Doctor of Science in Physics Quantum Information and Quantum Computation, Doctor of Science in Physics Quantum Information and Quantum Computation at USP - Universidade de São Paulo
Github Skills (6)
react4
javascript3
docker2
mlops-project2
kubernetes1
mlops1
Programming languages (2)
Github contributions (5)
diogolbar/portfolio
Feb 2021 - Apr 2021
My portfolio.
Contributions:41 commits, 2 PRs, 40 pushes in 1 month
javascriptreact
diogolbar/diogolbar-repo
May 2018 - Jan 2021
Contributions:35 pushes, 2 branches in 2 years 8 months
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