I used to be a librarian... and I still am — just with a new set of tools.
📚➡️📊 | Addicted to: learning, helping friends, offline life, and making my cat happy 🐱 | Tolkien lover 📖🌋
After 16 years as a Librarian, I'm transitioning into Data Analysis, Data Engineering, and Data Governance — bringing with me something most people entering this field don't have: over a decade of hands-on experience in information organization, taxonomy, classification, and metadata, which turned out to be exactly what data governance is built on.
I don't see this as starting over. I see it as finally naming the skill I've always had.
- 🔭 Currently focused on: Data Analysis & Data Engineering fundamentals
- 🌱 Building: data analysis projects with Python, dashboards, and ML fundamentals
- 🎯 Looking for: opportunities in Data Governance, Data Analysis, or Data Engineering
- 🤝 AI enthusiast: I use AI (Claude) as a real workflow partner — from building Python automation scripts to structuring my job search and career materials
- 🗣️ Languages: Portuguese (native), English (C1)
- 💬 Ask me about: information architecture, taxonomy design, ATS-friendly resumes, or Tolkien lore
Core strengths: Data Analysis with Python (Pandas, NumPy) · Data Cleaning & Transformation · Dashboards & Data Visualization · SQL & Databases · Taxonomy & Metadata Design · Advanced MS Office
| Project | Description |
|---|---|
| 🎓 reprograma_On33_Projeto_Final | Final project for the Data Analysis with Python bootcamp (reprograma) — end-to-end analysis applying the concepts from the full program |
| 🧮 on33-python-s14-analise-de-dados | Data analysis exercise applying pandas for cleaning, transformation, and exploration |
| 🌱 Mentoria_Artemisia | Tracking practices and progress through mentorship with Profa. Artemisia Weyl |
| 🤖 Reference Tracker (private) | Python tool (python-docx) that compares bibliographic references across .docx files — APA, ABNT, and Vancouver formats — with weighted scoring for author, year, and title match |
| ⚙️ Job Profile Updater (private) | Playwright-based automation that keeps candidate profiles in sync across job platforms, driven by a single JSON data source |
Plus 15+ additional exercises from the Data Analysis with Python bootcamp (logic, functions, databases, pandas/numpy) — see all repositories.
"Not all those who wander are lost." — sometimes a career change is just a different kind of catalog system.