At Uber Technologies, I designed a multi-tiered escalation architecture that improved escalated ticket validity by 20% and resolution SLA success by 30%. The workflow helped scale support capacity from 50 to more than 200 agents.
I also piloted and launched direct in-app bug reporting, allowing users to send system logs to engineering teams. I supported root-cause analysis by creating ticket infrastructure and Jira automations.
As Project & Analytics Manager, I redesigned enterprise Jira intake, expanding forms from 80 to more than 1,200, and built dashboards with SQL and Looker Studio. I also developed Google Apps Script tools and Jira automations that reduced ticket duplication by 30%.
Most recently, as a Data Analyst at Uber Technologies, I engineered three intermediary dataset tables and centralized five key OKRs and more than 20 KPIs into a single reporting source. I also analyzed the business impact of staffing adjustments and resource reallocations across global operations.

