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sruthi shanmukhi Patibandla
Mid-level Data Analyst specializing in dashboards, automation, and IT support analytics
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Built and productionized an LLM-powered service desk ticket triage and reporting agent that classifies, prioritizes (including sentiment/urgency), and summarizes tickets into structured SQL outputs feeding Power BI dashboards. Emphasizes production reliability (99% uptime) with retries, schema validation, confidence thresholds, human review queues, and rule-based fallbacks, delivering 85–90% reduction in manual effort and 25–30% faster resolution times.
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Key Strengths
- Shipped LLM-based service desk triage/reporting agent to production with ~99% pipeline uptime
- Reduced manual ticket processing and reporting effort by ~85–90%
- Improved ticket resolution time by ~25–30% via real-time prioritization
- Designed predictable agent workflows using schema validation, confidence thresholds, and human-in-the-loop fallbacks
- Implemented robust failure handling (retries, rule-based backups) and monitoring for accuracy/latency/failures
- Built evaluation and feedback loops; confidence thresholds + prompt refinements reduced misclassification by ~20–25%
- Handled messy ERP-like data with validation/cleaning, idempotency, and edge-case safeguards
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