Metta Akhil

About Metta Akhil

I’m a Supply Chain Analytics planner with 4 years of experience supporting procurement, inventory, logistics, and planning decisions across healthcare and technology environments through accurate, trusted data.I focus on end-to-end supply chain optimization, vendor performance management, and ERP-driven analytics, working with SAP MRP, Oracle ERP, Power BI, Tableau, and SQL. I use AI-driven analytics, forecasting models, and automation to improve procurement planning, demand forecasting, inventory optimization, and KPI reporting, translating complex data into insights teams can actually use. In my current role at Cigna Health, this work has contributed to a 20% improvement in supplier service levels and a 15% reduction in PO cycle time, while supporting ERP–EHR integrations across SAP, Epic, and Omnicell.I enjoy turning messy data, late POs, and spreadsheet chaos into clean insights, reliable plans, and supply chains that actually behave the way they’re supposed to.

Experience

1. Supply Chain Analytics Manager

   Cigna Healthcare

   Jun 2023 — Present

   I support end-to-end healthcare supply chain operations, working across procurement, inventory, logistics and distribution to reduce cost and minimize clinical stockouts. I analyze supply and demand patterns in medical supplies, optimize inventory replenishment cycles and improve procurement and distribution planning using SAP MRP, PeopleSoft SCM, Power BI and SQL.I’ve led ERP–EHR integration projects between SAP, Epic and Omnicell to improve master data accuracy, automate procurement workflows and synchronize inventory visibility across hospital networks. I design and automate planning models and dashboards that track KPIs such as PO cycle time, supplier lead time, inventory turnover, order fulfillment and equipment availability, enabling real-time decision-making.My work has helped reduce PO cycle time by 15%, improve supplier service levels by 20% and reduce operational downtime across facilities by 25%. I also apply Python, AI agents and Lean Six Sigma methodologies to drive process optimization, enhance forecasting accuracy and strengthen compliance and efficiency across the healthcare supply chain.

Education

• B. M. S. College of Engineering

  Bachelor of Engineering - BE, Computer Science

• University of Dayton

  Master's degree, Industrial Engineering