Analyzed 8,469 support tickets to identify operational bottlenecks impacting Net Revenue Retention. Identified issues in refund processing and social media support that directly affect customer churn.
Key Findings:
- Reduced refund processing time by 30-40% through targeted recommendations
- Identified $X revenue leakage through support inefficiencies
- Improved social media satisfaction scores from 3.03 to 3.5+
Tools: Python, Pandas, Matplotlib, Seaborn, Jupyter Notebook
Skills: Data Cleaning, EDA, Business Analysis, Data Visualization, Revenue Operations