I am a Civil Engineer, Mathematics graduate, and Data Science professional focused on applying statistical analysis and machine learning to real-world problems.
My background combines quantitative reasoning, engineering, education, and technology. I develop end-to-end data projects involving data collection, preprocessing, exploratory analysis, feature engineering, predictive modeling, model evaluation, and communication of results.
An end-to-end Data Science project developed to identify real estate investment opportunities in Brasília and surrounding regions.
The project includes:
- Collection and validation of public real estate listings
- Data standardization and deduplication
- Exploratory market analysis
- Rental price prediction
- Financial feasibility simulations
- Investment opportunity indicators
- Interactive rental prediction tool
Repository: Brasília Real Estate Analytics
My portfolio includes projects involving:
- Classification
- Regression
- Customer segmentation
- Statistical hypothesis testing
- Dimensionality reduction
- Cross-validation and hyperparameter optimization
- Ensemble learning
- Model interpretation and performance evaluation
Course projects: EBAC Data Science Projects
Programming and data
- Python
- SQL
- Pandas
- NumPy
Machine learning and statistics
- Scikit-learn
- XGBoost
- Statsmodels
- SciPy
- Classification
- Regression
- Clustering
- Feature engineering
- Cross-validation
Visualization
- Matplotlib
- Plotly
Data collection and development
- Playwright
- Beautiful Soup
- Git
- GitHub
- Civil Engineering
- Mathematics Education
- Data Science
- Teaching and technical communication