Mateus Tetsuo

Build dashboards and data visualizations to monitor fraud alerts, disputes, and client performance. Develop data science models for chargeback prediction and run exploratory analyses on large transactional datasets using SQL and Python.

Developed and improved machine learning models for credit risk decisions. Led strategic analyses to reduce default rates and scale the operation, focusing on commercial KPIs and strategic decision-making.

Worked in the customer retention division at Brazil's largest health insurance company. Built dashboards using SQL (BigQuery) and Looker Studio, created bots with Python to automate manual processes, and led analytical studies focused on churn reduction.

Started as a Credit Risk Analyst and took the lead in building the company's BI infrastructure from scratch. Created dashboards using Power BI and Tableau with SQL for various departments, led credit risk studies, macroeconomic forecasts for pricing, and developed predictive models using Python and R.

Supported senior economists with data analysis and report writing. Contributed to economic insights and forecasting.

Assisted senior analysts in daily cash and liquidity management activities.

Taught Microsoft Office tools to students at a nonprofit organization in São Paulo.

Performed tasks related to quality control.

Postgraduate Specialization (Lato Sensu) in Economics and Data Science, ongoing with expected completion in 2026.

Bachelor's in Economics from FECAP, completed in 2021.