At Clube Certo, I own end-to-end integrations with major business partners, designing data workflows involving more than 30 million records. I also established the project's testing strategy, contributing to an approximately 32% reduction in post-release maintenance requests and bug fixes.
I built a location-aware recommendation system for MenstruaTech using PostgreSQL and PostGIS, and developed its React.js and Next.js frontend and NestJS backend. I also led the project from stakeholder interviews through architecture, implementation and deployment.
For PUC Minas's Business Intelligence Extension Project, I implemented data management dashboards and built ETL flows impacting approximately 30,000 students. I'm studying Information Systems at PUC Minas and have developed applied projects in full-stack development, data processing and business intelligence.

