Project information

  • Project Name: PWC - Customer Risk Analysis
  • Tools: Power Bi, Python, SQL Server
  • Techniques Used: Slicers, Tables, charts, Visualization
  • interactive Link: : Power Bi Link

Project Details

• Idenfied the percentage of retained vs churned customers, along with the annual and monthly revenue impact.
• which demographics are more prone to churn, such as senior citizens using Fiber Optic internet.
• Got data-driven insights on improving tech support, offering better plans, and retaining high-value customers.