Vaishnavi S

Restructured intake workflows with process automation and validation controls, improving delivery throughput by 40% and reducing clarification cycles by 25%. Leveraged Google Analytics funnel drop-off insights to lower bounce rates by 30% and translated KPIs into Jira user stories and release readiness checks, increasing delivery predictability by 35%.

Mapped end-to-end laundry operations using process mapping and value-stream analysis, identifying bottlenecks driving service delays and backlog growth. Applied Lean Six Sigma DMAIC, established KPI tracking via QR-enabled Google Forms and Tableau dashboards, and reduced turnaround time from 72 to 48 hours using KPIs, SOPs, and escalation controls.

Built multi-stage NLP inference pipelines in Python, improving classification performance to 81% F1 (anxiety) and 77% F1 (depression). Enhanced high-risk detection with SBERT embeddings (recall +18%) and implemented XGBoost ranking to increase targeted engagement effectiveness by 32% while maintaining latency thresholds.

Assessed supplier delivery reliability using risk-control matrices and schedule variance analysis, maintaining timeline deviation below 5%. Reduced cost overruns by 12% and downtime by 18% with automated variance-detection scripts, improved procurement-to-invoicing reconciliation by 40% (and audit readiness by 35%), and increased schedule adherence by 22% via dynamic lead-time simulation and miles

Pursuing an M.S. in Information Systems at Syracuse University, expected to complete in May 2026.

Completed or is pursuing a B.E. in Electronics and Communication Engineering at P.E.S. College of Engineering starting August 2023.