I am a Data Science and Artificial Intelligence student at FGV EMAp. My background is rooted in maths and programming, which I now apply to solve complex problems through data engineering and predictive modeling.

Currently, I am a Data Governance & Management Intern at Icatu Seguros, where I focus on optimizing ETL pipelines and maintaining large-scale data integrity.

Languages & Frameworks

Data Engineering & Visualization

Data Engineering & Systems Architecture

• ETL Optimization: Experience in reducing computational overhead, recently refactoring processes to reduce monthly data loads from 65M to 25M rows.
• Distributed Communication: Implementation of low-latency, real-time data streaming using gRPC and C++17 to replace disk-dependent communication.
• Database Management: Advanced handling of SQL for analytical processing and SQLite for embedded storage solutions.
• Automated Collection: Development of robust Web Scraping architectures in Python for real-time market monitoring and competitive intelligence.

Machine Learning & Quantitative Modeling

• Deep Learning: Development of Neural Networks applied to quantitative finance to identify trends in technology sector parameters.
• Time Series Forecasting: Proficiency in SARIMAX modeling, STL decomposition, and Walk-Forward Validation for high-accuracy demand forecasting.
• Algorithmic Optimization: Application of Graph Theory (Dijkstra and Kruskal) to solve complex urban routing and infrastructure topology problems.
• Modern Portfolio Theory: Structuring Asset Allocation for UHNWI clients using liquidity-aware strategies and dynamic rebalancing backtests.

Development & Tools

• Object-Oriented Programming: Focus on clean, modular code in C++ and Python.
• Data Visualization: Building interactive Streamlit and Power BI dashboards to translate complex data into actionable insights.
• Financial Modeling: Thesis development involving TAM analysis, competitive differentiation, and growth projections.
• Tax Engine & Web Dev: Developed a React-based tax calculator that automates weighted average price (WAP) and tax liability for the Brazilian stock market.