Automated SaaS Customer Churn Prediction Dashboard

Create a Python script that ingests customer subscription data from Google Sheets, uses pandas for data preprocessing, and generates a predictive churn model with feature importance visualization. The dashboard should use Dash or Streamlit to display interactive charts showing probability of customer churn, highlighting key metrics like monthly recurring revenue (MRR) impact and retention risk segments. Include machine learning preprocessing steps using scikit-learn and implement a Random Forest classifier with cross-validation.