In this Project "Customer Spending Clustering for a Mall," the goal was to cluster customers based on their spending patterns to help the mall tailor marketing strategies and enhance the shopping experience.
Project Title: Customer Spending Clustering for a Mall
key Steps: -Data Preprocessing: Prepared and cleaned customer spending data. -K-Means Clustering: Applied K-Means clustering to group customers by spending behavior. -Visualization: Created visualizations to communicate spending clusters effectively.
Benefits: -Enabled personalized marketing and improved customer satisfaction. -Provided valuable insights for strategic decision-making at the mall. -This project demonstrates my ability to use data-driven clustering techniques to benefit businesses by enhancing customer engagement and decision-making.