Transforming raw data into
decisive insights.
Data & Systems Analyst with hands-on experience in Python, SQL and Jupyter Notebooks. Passionate about turning raw data into clear, actionable decisions.
THE PHILOSOPHY
I believe every dataset tells a story. My job is to find it and turn it into decisions.
ADS student at INFNET with hands-on experience in Python, SQL and data analysis. Projects in web scraping, EDA and relational database modeling.
PROJECTS
Python, SQL & data analysis on GitHub.
LANGUAGES
Portuguese, Italian, Spanish & English.
DEGREE
Systems Analysis & Dev · INFNET · 2025.
Featured Projects
01 / PYTHON · WEB SCRAPING
Book Scraper
Python scraper collecting book data and exporting to CSV for analysis.
02 / PYTHON · SQL · PANDAS
Data Analysis — Python & SQL
Hands-on EDA with Python and SQL on a movie ratings dataset (2017–2022).
03 / SQL · DB MODELING
Relational DB Modeling — Virtual Store
Database normalization from 1NF to 3NF — 72% redundancy reduction.
GITHUB PROJECT
01 / PYTHON · WEB SCRAPING
Book Scraper
THE CHALLENGE
Extract structured data from Books to Scrape with no API, navigating 50+ category pages.
THE PROCESS
Built with BeautifulSoup4 and Requests — multi-page navigation, data cleaning, CSV export pipeline.
THE RESULT
1000+ book records across 5 categories exported as clean, structured CSV.
TECHNOLOGIES
02 / PYTHON · SQL · PANDAS
Data Analysis
THE CHALLENGE
Derive meaningful insights from a raw movie ratings dataset spanning 2017–2022.
THE PROCESS
EDA with Pandas in Jupyter Notebook, advanced SQL queries to identify trends and visualize rating patterns.
THE RESULT
Identified key rating trends and genre patterns, documented in reproducible Jupyter notebooks.
TECHNOLOGIES
03 / SQL · DB MODELING
Relational DB Modeling
THE CHALLENGE
Virtual store database with massive redundancy — update anomalies and integrity issues.
THE PROCESS
Applied normalization forms: 1NF (atomic values), 2NF (partial dependencies), 3NF (transitive dependencies).
THE RESULT
72% reduction in data redundancy. Improved integrity and query performance across all normalized tables.
TECHNOLOGIES
TECHNICAL ARSENAL
DATA ANALYSIS
Python · Pandas · EDA
DATABASES
SQL · MySQL · 1NF–3NF
WEB SCRAPING
BeautifulSoup · Requests
AI TOOLS
Claude · ChatGPT
Experience
2025 — PRESENT
ADS Student
INFNET · RIO DE JANEIRO
- —Studying Systems Analysis & Development (ADS).
- —Focus on Python, SQL, data modeling and web development.
2025
Relational DB Modeling
PERSONAL PROJECT
- —Applied 1NF, 2NF, 3NF normalization to a virtual store DB.
- —72% data redundancy reduction through systematic normalization.
2024 — 2025
Data Analysis — Python & SQL
PERSONAL PROJECT
- —Explored movie ratings dataset spanning 2017–2022.
- —Advanced SQL queries, Pandas EDA, trend visualization.
2024
Book Scraper
PERSONAL PROJECT
- —Python scraper collecting 1000+ book records.
- —BeautifulSoup pipeline exporting clean CSV for analysis.