I'm into data analysis, machine learning, and building stuff that makes sense.
Most of my work is focused on turning data into something useful... OR at least understandable.
- 🧹 Clean messy data
- 📊 Analyze and visualize patterns
- 🧪 Train ML models when it makes sense
- 🗂️ Write clear reports, SQL queries, and notebooks
- 🤖 Sometimes automate boring stuff
| Project | What it's about | Tech |
|---|---|---|
| 🎧 Spotify Recommender | Suggests tracks balancing familiarity and novelty. Includes feature-based filtering and personalized ranking. | Python, Pandas, Scikit-learn |
| 🏠 Real Estate (Warsaw) | Predicts housing prices with interpretable SHAP insights. Helps understand key price drivers. | Python, XGBoost, SHAP |
| 📈 Stock Prediction | Forecasts BTC price using ML. MAE ~2%. Includes basic feature selection and model tracking. | Python, TensorFlow, Keras |
| Project | What's coming | Tech |
|---|---|---|
| 🌍 Tourism SQL Project | Full SQL-based analysis of tourism vs. economy and weather. Clean views, optimized queries, and insights. Power BI dashboard in progress. | Oracle SQL, Power BI |
| 🛡️ Fraud Detection Pipeline | Hierarchical ML pipeline (anomaly → confirmation → supervised). SHAP + report in progress. | Python, SHAP, Power BI |
