OVERVIEW

ChurnGuard is a full-stack machine learning platform designed to help banks and FinTech organizations identify customers who are at risk of leaving, understand the reasons behind their risk, and take proactive retention actions.

The platform combines a complete ML pipeline with an enterprise web application. Customer data is processed through data validation and feature engineering, after which an ensemble of machine learning models generates a churn-risk probability for each customer. The system uses SHAP explainability to identify the key factors contributing to each prediction, allowing analysts and retention teams to understand why a customer has been classified as high risk.

Beyond prediction, ChurnGuard converts risk insights into actionable retention strategies using Gemini AI. Analysts can review customer profiles, risk scores, revenue-at-risk, geographic and demographic trends, model performance, and SHAP-based risk drivers through an interactive Next.js dashboard. AI-generated retention recommendations can then be connected to operational workflows through integrations such as Jira and HubSpot.