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Customer Segmentation Analysis

Project Type

Data Science, Machine Learning, Data Analytics

Github

Link to Project Code and Analysis Summary

Using Neural Networks to identify customers who are at high risk of churning

Key Technical Insights
• Required leveraging multiple optimization algorithms to find the optimal weights for the neural networks
• GA performed best for optimizing NN weights while maintaining scalability

Business Impact
• Reduced monthly churn rate of existing customers
• Increase overall CLV

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