Data science & customer intelligence

E-Commerce Churn Intelligence

An end-to-end portfolio project using synthetic e-commerce data to identify at-risk customers and turn model scores into retention decisions.

PythonPandasScikit-learnStreamlit

INTERACTIVE DEMO

Customers analyzed2,500+8.4% this month

Average churn risk38.6%Model score

High-risk customers3Needs attention

Customer risk queue

SELECTED CUSTOMER

Avery Morgan

92%churn risk

$8,420Lifetime value

94 daysSince last purchase

Portfolio context

This independent project demonstrates applied technical skills using portfolio-safe or synthetic data. It is not presented as employer-delivered production work.

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