Customer Churn Analysis and Insights

BDT 50,000–BDT 120,000 25 Days Data Science Premium Only

About Role

Analyze customer data to identify patterns associated with churn and produce practical retention insights. The project should combine data cleaning, exploratory analysis, meaningful segmentation, and a transparent explanation of limitations. The output should help the business decide which customers to prioritize and what additional data may be useful. The successful freelancer will be expected to work independently, share progress at agreed checkpoints, and raise questions early when a requirement needs clarification. All submitted work should be original, well organized, and ready for practical use after reasonable review.

Requirements

  • Review data definitions, quality, and privacy constraints.
  • Clean and prepare customer, usage, and transaction data.
  • Explore churn patterns by customer segment and behavior.
  • Build an interpretable model or scoring approach where appropriate.
  • Create charts and a business-focused report.
  • Recommend actions and clearly separate evidence from assumptions.
Skills Required
Data SciencePythonPandasSQLCustomer AnalyticsMachine LearningData Visualization
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BudgetBDT 50,000–BDT 120,000
Duration25 Days
Deadline15 Nov 2026