Prompt
Conduct a customer churn analysis using Python and libraries like Pandas and Scikit-learn. Import customer transaction and demographic data, clean the dataset, and apply logistic regression to identify key factors contributing to churn. Present findings in a report format with actionable recommendations for a telecommunications company in Asia looking to reduce churn rates, focusing on customer segments at high risk of leaving.