Power BI
Telecom Customer Churn & Retention Analysis
Which customer groups are most likely to churn, and what patterns could inform retention?
Power BIDAXPower Query
A filterable view of my data analytics work — across Excel, SQL, Power BI and Python. Click any card to view the full repository on GitHub.
7 projects
Which customer groups are most likely to churn, and what patterns could inform retention?
How do customers purchase over time, and how do repeat buyers differ from one-time buyers?

Mapping the global logistics landscape required consolidating fragmented data from 60 international shipping companies across 21 countries.
A global retailer was profitable on paper but bleeding margin in some segments.
How is sales performance trending, and which areas need attention?
Marketing needed clearer customer groups to target campaigns.
Leadership lacked a single view of revenue trends and product performance.