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AI & Machine LearningVerified Production

Predictive Machine Learning & Churn Engine

Automated data ingestion, feature engineering, and real-time customer churn risk scoring.

predictive-ml-analytics-pipeline.ezidot.internal

Predictive Machine Learning & Churn Engine

Architecture: Next.js · Node.js · Scalable Cloud Engine

Status: 200 OK● Active Deployment

Technology Stack Used

8 Tech Tools
PythonPyTorchScikit-LearnFastAPIPostgreSQLDockerNext.jsChart.js

Performance & Business Impact

89.2%
Churn Prediction Accuracy
30 Days
Early Risk Detection
$420k+
Revenue Retained

System Architecture

Engineered automated ETL pipelines and gradient-boosted classification models deployed as high-throughput asynchronous REST APIs integrated into client CRM dashboards.

Client Challenge

The client lacked early warning signals for customer attrition, discovering churn only after accounts cancelled subscriptions.

Engineered Outcome

Built a real-time risk scoring engine that identified 82% of at-risk accounts 30 days before potential cancellation, enabling targeted retention campaigns.

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