M.Sc. in Applied Economics (UFPB) | Specialist in Causal Inference & Data Science
I hold a Master’s degree in Applied Economics from UFPB, with a core focus on Causal Inference and Data Science. My expertise lies in bridging the gap between statistical rigor and programming to solve complex challenges in business and public policy.
I operate at the intersection of Econometrics and Machine Learning, transforming open-source and proprietary datasets into strategic intelligence. My recent research evaluates the impact of financial technologies (Pix) on the economy, combining economic theory with large-scale data processing.
🚀 Driven by ambitious projects that demand high analytical capacity and high-impact technical delivery.
Programming & Version Control
Modeling & Expertise
- Causal Inference: RDD (Regression Discontinuity), Staggered Diff-in-Diff, Synthetic Control.
- Data Science: Predictive Modeling, Advanced Econometrics, Data Automation.
- Specialties: Business Intelligence, Impact Evaluation, and Scalable Data Pipelines.
- Fintech Impact: Econometric analysis of Pix (Instant Payments) and financial digitalization in Brazil.
- Public Finance: Efficiency and spatial spillovers of environmental tax incentives.
