Predictive Analytics Model for Customer Churn

Machine Learning

Python

Analytics

BigQuery

The Challenge (Before)

Customer churn was reactive. The business could only identify a lost customer after they had already left, with no system to predict who was at risk.

The Result (After)

I developed and trained a machine learning model in Python using BigQuery ML that predicted customer churn with 85% accuracy. This allowed the retention team to proactively engage at-risk customers, reducing churn by 15%.

Churn Reduction

15%

Model Accuracy

85%