Conducted exploratory analysis on 6,687 telecom customers to identify
churn patterns. Built a Power BI dashboard highlighting churn rate, high
risk segments, and behavior trends. Used Python to analyze service
usage, contract types, age groups, and monthly charges, revealing key
factors such as international usage mismatch and high service-call
frequency