This project analyzes 20K+ customer support tickets to derive operational insights related to workload distribution, ticket priorities, support queues, and customer segmentation.
- Understand operational workload across support teams
- Analyze ticket priority and issue types
- Generate dashboard-ready insights for operations management
- Python
- Pandas
- Matplotlib
- Jupyter Notebook
- Medium and High priority tickets dominate workload
- Technical Support handles the highest volume of tickets
- Incident-type tickets are most common
- Customer support workload is multilingual (EN & DE)
