Customer Segmentation
Machine Learning · Tirthal Kothari
Customer clusters translated into distinct loyalty recommendations.
The challenge
This machine-learning project used retail customer data on income, spending score, and channel mix to explore customer differences and inform loyalty recommendations.
What I did
I applied K-Means clustering, validated the cluster count with the elbow method, and profiled each segment to develop proposed loyalty approaches.
The deliverable
Customer segments and proposed loyalty recommendations tailored to each group.
Tools & methods
- Python
- scikit-learn
- K-Means
- pandas
Project context
Machine-learning project. Deliverable: customer clusters, elbow-method validation, and tailored loyalty recommendations for each segment.