GitHub Pages · Custom Domain · Data Analysis Blog
Data Analysis
Portfolio Website
This personal website is built for Project 1. It presents the Q2 survival analysis report based on the IBM Telco Customer Churn dataset, including data cleaning, Kaplan-Meier curves, log-rank tests, Cox model, AFT model, and customer lifetime value analysis.
Project dashboard
Cleaned sample
3,351
Churn events
1,556
Median survival
34 mo
60-month NPV
982.10
Report completion
Q2(2) Blog
Website Content
Survival Setup
Defines customer tenure as duration and churn status as the event variable.
Model Results
Includes Kaplan-Meier estimation, log-rank tests, Cox model, and AFT model.
Business Value
Uses survival probabilities to support customer lifetime value estimation.