My SaaS Fitness churn analysis brought together 400 subscribers, 918 support tickets, and 445 events to identify patterns in customer churn. I found that inactive users had 54% churn compared with 4% among engaged users, and delivered an analytical report, Power BI dashboard, and recommendations.
I also analyzed employee attrition in Power BI, where the 1,470-employee dataset showed a 16.1% attrition rate and higher risk among frequent travelers and employees working overtime. My toolkit includes Python, SQL, Power BI, and BigQuery, and I’m DataCamp-certified in data analysis.

