Churn prediction model for Stackmint
A churn model that flags at-risk accounts early enough for customer success to act. A case study by Rahul Mehta, Machine Learning Engineer (LLMs & RAG).
Challenge
Stackmint, a project management SaaS, only noticed churn when cancellations arrived. Customer success had no way to prioritise hundreds of accounts.
Solution
I built a gradient-boosted churn model from product usage and billing data, explained each prediction with the top drivers, and pushed weekly risk scores into the CRM.