I'm a Statistics undergraduate student at ENCE/IBGE, focused on Data Analysis, Exploratory Data Analysis, Predictive Modeling, Data Visualization, Machine Learning, and Generative AI applications.
I build projects using Python, R, SQL, FastAPI, Streamlit, LangChain, ChromaDB, LLMs, RAG pipelines, automated tests, and CI/CD workflows, combining statistical thinking with practical software development.
REST API for income prediction and statistical analysis using socioeconomic data, machine learning concepts, automated validation, tests, and continuous integration.
Main features:
- API built with FastAPI
- Predictive modeling workflow with Python
- Input validation with schemas
- Automated tests with Pytest
- CI/CD pipeline with GitHub Actions
- Organized backend structure with routes, schemas, security and prediction logic
- Practical project focused on data, APIs and model deployment concepts
Semantic search application for public IBGE datasets using RAG, Gemini API, ChromaDB, Streamlit, local embeddings, metadata filtering, query expansion, and public deployment.
Main features:
- Semantic search over IBGE XLS/CSV tables
- Local embeddings and vector storage with ChromaDB
- Gemini API integration with fallback demo mode
- Dark mode interface with Streamlit
- Query expansion to improve retrieval
- Metadata filtering for indicators and coefficients of variation
- Retriever evaluation with Precision@k, Recall proxy, MRR and NDCG
- Automated tests with Pytest
- CI/CD with GitHub Actions
Statistical analysis project focused on social data, correlations, data visualization, and reproducible technical documentation using R, R Markdown, and Quarto.
Academic studies applying statistics to public policy problems, social indicators, data visualization, and IBGE microdata analysis.
Personal scripts and small applications built with Python, Pandas, NumPy, Matplotlib, Object-Oriented Programming, and automation workflows.
- Advanced statistical modeling
- Machine learning with Python and R
- API development and backend architecture
- RAG pipelines and LLM applications
- Data engineering fundamentals
- Testing, documentation and CI/CD practices
B.Sc. in Statistics
ENCE/IBGE — Escola Nacional de Ciências Estatísticas
2023 – 2028 expected
Production Engineering
UNESA
2022 – 2023
- Back-End Programmer — SENAI
- Object-Oriented Programming with Python — ENEP
- Introduction to Data Science — ENEP
- Concepts and Applications of the Demographic Census in Public Policy — IBGE
- Plain Language Fundamentals — ENEP
- 📧 Email: oliveiraggpedro@gmail.com
- 💼 LinkedIn: LinkedIn/pedro
- 🧑💻 GitHub: github.com/justmetro
Turning data into insight, and insight into useful solutions.