Analyze credit card transaction data to understand customer behavior, spending patterns, and key trends.
- Customer segmentation
- Spending trends by category
- Monthly transaction analysis
- High-value customer identification
- Python (Pandas, NumPy)
- Matplotlib / Seaborn
- Jupyter Notebook
Dataset includes customer transactions, product categories, and spending amounts.
- Identified top spending categories
- Found seasonal spending patterns
- Segmented customers based on transaction behavior
- Build predictive model for customer spending
- Credit risk analysis