PythonPandasScikit-learnK-Means
Revenue Optimization & Customer Segmentation
End-to-end profitability analysis to identify high-value customers and most profitable product categories.
📊 Profitability-driven segmentation
Dataset
Multi-month customer revenue dataset with transactions, product categories, and customer-level revenue contribution.
Methodology
- 1Cleaned and transformed noisy revenue data.
- 2Applied K-Means clustering segmentation on purchasing behavior.
- 3Profitability analysis by product category and segment.
- 4Delivered a strategy presentation with actionable recommendations.
Final Outcome
Data-backed growth strategy for sales and marketing teams targeting the highest-LTV customer segments.
Skills Used
PandasScikit-learnK-MeansMatplotlibSeabornBusiness Strategy