I build end-to-end data science projects — from statistical analysis to machine learning pipelines and interactive dashboards.
- 📊 Focused on machine learning, panel data analysis, and statistical inference
- ✍️ I write on Medium about data science
Languages & Analysis
Python R SQL
Machine Learning
scikit-learn XGBoost SHAP statsmodels
Data & Visualization
Pandas NumPy Matplotlib Seaborn Streamlit Power BI
Statistics
Hypothesis Testing Time Series Panel Data A/B Testing
| Project | Description | Stack |
|---|---|---|
| Churn Analysis | End-to-end churn prediction with statistical tests, 4 ML models & Streamlit UI | Python, XGBoost, Streamlit |
| Microsoft Time Series | MSFT stock forecasting | R |
| Diabetes EDA & Feature Engineering | Feature engineering + Random Forest, 88% accuracy | Python, scikit-learn |
| Sales Dashboard | Interactive sales analysis dashboard | Power BI |
| CO2 Emission Prediction | Per capita CO2 prediction across 16 Asian countries — CatBoost (R²=0.93), SHAP analysis, Gemini LLM policy generation | Python, CatBoost, SHAP |
