At Renapsi (Demà Aprendiz), I build and maintain data pipelines with SQL, Python/PySpark, and Databricks for financial and operational reporting. I also develop budget forecasts and audit datasets to identify anomalies and potential risks.
As an Assistant Controller at Renapsi, I developed Power BI dashboards and Streamlit applications to monitor KPIs, and automated recurring reporting workflows. Earlier, as a Controller Intern there, I prepared financial datasets and developed an automated income statement report in Power BI.
On my Agricultural Budget Forecasting project, I developed a Streamlit decision-support application using exploratory data analysis and seasonal trend modeling to support purchasing plans and budget allocation. I also applied time-series econometric models to forecast resource consumption and spending, improving budget allocation accuracy by 20%.
My economics studies at Federal University of Goiás (UFG) have focused on applied statistics, econometrics, time-series analysis, and macroeconomic modeling. My thesis examines Markov Chains for Volatility Spillover Between Financial Assets.
