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.