This project simulates an operational analytics use case inspired by Google Operations Center (GOC), focusing on tracking, measuring, and analyzing daily operational performance.
- Monitor SLA compliance
- Track turnaround time (TAT)
- Identify backlog trends
- Analyze operational efficiency
- SLA Compliance %
- Average TAT
- Backlog Volume
- Daily Throughput
- SLA Breach Count
Simulated operational dataset created for analysis purposes. (No real company or user data used.)
- SQL (SLA & breach logic)
- Excel (data exploration & reporting)
- GitHub (version control)
- Identified SLA breach patterns across days
- Observed backlog buildup during high-volume periods
- Highlighted efficiency gaps affecting SLA adherence
This project demonstrates hands-on experience with operational metrics and data-driven decision support for ops teams.