Project Showcase
Highlight of my featured works
Customer Segmentation
A machine learning classification project for customer segmentation in marketing analytics. Includes preprocessing, model training, and evaluation.
🎯 What I Learned
- Performed EDA with Plotly and Seaborn
- Applied RobustScaler and encoding techniques
- Trained classification models with GridSearchCV
🛠 Tech Stack
- Python, Pandas, NumPy
- Matplotlib, Seaborn, Plotly
- Statsmodels
- Scikit-learn
📌 Evaluation / Next Step
After preprocessing and hyperparameter tuning, classification performance improved with higher accuracy and recall. However, dataset imbalance and limited size still affect generalization. Future steps: experiment with ensemble models (RandomForest, XGBoost) and clustering methods (K-Means) for unsupervised segmentation.