Hello world, I'm Rodrigo!
This is my GitHub Profile - a manifestation of my ideas, creativity and a touch of madness. 😬
Being a tech enthusiast all my life, I've explored many areas of IT.
My most recent role was as a Database Administrator, where I worked with technologies related to data analysis, data manipulation, modeling and also database management.
Later, my career took a turn and I found myself in need of change - that's when I started a Data Science degree.
Backend development came naturally to me, as I've always had a crush on Python. Many web projects use the language for its simplicity and developer-friendly implementation.
Now, I'm looking forward to applying and expanding my knowledge in Data Science.
| Project | Description | Stack |
|---|---|---|
| Titanic - Machine Learning from Disaster (Kaggle) | Binary classification pipeline. Implemented feature engineering and hyperparameter tuning across tree-based algorithms (RandomForest, GradientBoosting, AdaBoost, XGBoost). Final predictions aggregated via Voting Classifier to optimize Kaggle score. | Python, Scikit-Learn, Pandas |