Market segmentation for a french (C2C) fashion store using python, cluster analysis, unsupervised machine learning libraries to to support decision making in personalized marketing.
The data source is 'data.world' portal https://data.world/jfreex/e-commerce-users-of-a-french-c2c-fashion-store.
The focus of the project is customers who are active users of the platform in selling field. To be consider as an active user, they should have at least one sold product.
Customers who follow common pattern of behaviour are segregate into 4 segments.
The overview of the segments is represented as the Tableau dashboard.