Full-stack churn prediction platform with Random Forest inference, GenAI retention narratives, React 18 dashboard, and OpenTelemetry tracing
CRM mit Abwanderungsvorhersage: Spring Boot, Python, React und Power BI. Der Vertrieb bekommt eine nach Umsatzrisiko sortierte Anrufliste statt einer Prozentzahl.
Full-stack churn prediction platform with ML training, batch inference, and analytics dashboard
AI-powered customer churn prediction dashboard built with React, Node.js, and Groq LLM API
A prototype product proposal for a non-existent company that helps subscription-based businesses identify at-risk customers and take targeted retention actions — without requiring a data science team.
End-to-end customer churn analysis with EDA, ML prediction (XGBoost, Random Forest), and interactive React dashboard. Built on Telco dataset (7,043 customers).
Machine learning dashboard that predicts which customers are about to churn and converts those predictions into real money — showing exactly how much revenue you can save by retaining the top 20% high-risk customers. Built with Python, scikit-learn & React. Fast, mobile-ready, multi-currency. 📊
AI-assisted early warning system for customer churn signals across reviews and messages
Project for AINE-AI
Interactive customer churn prediction dashboard powered by a FastAPI machine learning backend and a modern React & Vite frontend.
Incursu customer analytics in react native
End-to-end D2C customer churn prediction platform using scikit-learn, FastAPI, React, Docker, Render & Netlify — with real-time and batch churn scoring.
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