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Customer churn remains a critical challenge for businesses striving to maintain long-term customer relationships. This project developed a Churn Analysis System leveraging Dask for distributed computing and Large Language Models (LLMs) for natural language processing to analyze unstructured organizational data. The system provided insights into patterns, trends, and indicators of customer churn, enabling decision-makers to reduce churn rates and improve customer retention strategies effectively.
