João Pedro Freire

Generalist statistician working at the intersection of research, quantitative modeling, and applied data science.

Work Experience

2025 - Present

Designing and refining complex sampling plans for institutional statistical surveys.
Developing and applying statistical models for calibration weight generation for survey estimates.
Performing data criticism, validation, and imputation to ensure the quality and consistency of survey information.

2024 - 2025

Develop and monitor credit risk models for credit card and personal loan portfolios.
Conduct research and performance analysis to improve existing models.
Deployed models in Azure Cloud (Data Factory, Functions, Databricks) for production and monitoring.
Deploy models to production on Databricks and design automated monitoring routines.

2023 - 2024

Developed internal risk capital models covering underwriting, operational, legal, and lottery risks.
Applied advanced statistical methods such as Generalized Linear Models (GLM), Bayesian inference, and Monte Carlo simulation.
Deployed models in Azure Cloud (Data Factory, Functions, Databricks) for production and monitoring.
Built automated ETL pipelines and dashboards in Power BI and R Shiny for ongoing supervision.
Conducted financial risk and volatility modeling to analyze variations in technical assumptions (mortality, persistency, etc.).

2020 - 2023

Bachelor's Degree in Statistics

Developed a personalized learning system to identify students’ difficulties and provide timely feedback in Intro to Programming classes.

Developed statistical models to predict real-time BRT bus arrivals for the Rio de Janeiro City Hall’s public transport system.