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buisiness-intelligence

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Customer Churn Analysis project using Python to analyze 7,043 telecom customers, uncover key churn patterns across tenure, contracts, services, payment methods and demographics, identify high-risk customer segments, and provide data-driven recommendations to improve customer retention.

  • Updated Aug 12, 2026
  • Jupyter Notebook

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