Diogo Barreto User

Develop computer vision models to assess the quality of dermatological medical images used in clinical workflows. Build deep learning pipelines for analysis of medical imaging data including CT scans, radiomics, and clinical data.

Structured the Model Risk Management framework by developing validation guidelines and standardized report templates. Conducted independent validations of statistical and machine learning models to ensure compliance and robustness.

Optimized SAP HANA data pipelines migrated to Databricks using incremental ingestion strategies through Azure Data Factory. Conducted feasibility studies for income prediction models using proprietary and public datasets via Azure Machine Learning Studio.

Developed machine learning models for credit scoring, customer segmentation, and cash flow forecasting. Implemented data pipelines using MongoDB, Python, and Airflow, and built financial dashboards and model monitoring tools using Redash and SQL.

Ph.D. in Physics with focus on Quantum Information and Statistical Inference.

M.Sc. in Physics with focus on Low-Temperature Physics and Nonlinear Systems.

B.Sc. in Physics from the University of São Paulo.