Akhil Metta

Supply Chain Manager with 4+ years of experience in healthcare and technology domains, specializing in end-to-end supply chain optimization, procurement strategy, and vendor performance management. Proven expertise in leveraging ERP systems (SAP, Oracle), analytics tools (Power BI, Tableau, SQL), and forecasting models to enhance efficiency, reduce costs, and improve operational visibility. Skilled in Lean Six Sigma methodologies, transportation and warehouse analytics, and data-driven decision-making to streamline inventory, logistics, and distribution workflows.

Supply Chain Analytics Manager at Cigna Health, USA (2023-06 – Present)

• Analyzed end-to-end healthcare supply chain performance data, identifying demand fluctuations in medical supplies, optimizing inventory replenishment cycles, and improving procurement and distribution planning to reduce operational costs and minimize clinical stockouts.
• Integrated SAP MRP and PeopleSoft SCM data with Power BI dashboards to monitor purchase order cycle time, supplier lead time, and on-time delivery metrics.
• Led ERP–EHR integration projects between SAP, Epic, and Omnicell systems to enhance master data accuracy, automate procurement workflows, and synchronize inventory visibility across hospital networks.
• Designed and automated SQL queries and Excel-based healthcare planning models to monitor KPIs such as inventory turnover, supplier lead times, order fulfillment, and equipment availability, enabling real-time decision-making in medical supply management.
• Reduced PO cycle time by 15% through data-driven forecasting and cross-functional scheduling optimization.
• Developed interactive Tableau dashboards to track supplier performance, contract compliance, and inventory utilization, increasing visibility for clinical and administrative stakeholders and supporting proactive capacity planning and risk mitigation.
• Applied Python and AI agents to enhance healthcare supply chain automation, forecasting accuracy, and operational efficiency.
• Conducted root cause analysis on vendor delays, contract discrepancies, and resource allocation inefficiencies, implementing corrective actions that improved supplier service levels by 20% and reduced operational downtime across healthcare facilities by 25%.
• Applied Lean Six Sigma methodologies to assess sourcing, vendor onboarding, and healthcare contract management processes, driving process optimization that reduced redundancies, ensured regulatory compliance, and enhanced overall healthcare supply chain efficiency.

Supply Chain Analyst at KPIT, India (2020-01 – 2021-12)

• Performed detailed analysis of software asset utilization, project servicing timelines, and IT resource inventory trends using historical data and predictive models, improving operational accuracy and reducing development bottlenecks by 25%.
• Monitored compliance and quality assurance metrics using audit dashboards, SLA tracking, and governance frameworks, while streamlining software development workflows and vendor logistics by analyzing SLA compliance, sprint turnaround times, and throughput data to mitigate risk, improve delivery speed, and enhance client satisfaction.
• Leveraged Power BI, JDA, and Kinaxis to develop real-time dashboards and performance analytics, increasing visibility across software procurement, vendor management, and development lifecycle operations.
• Applied Lean Six Sigma methodologies to identify inefficiencies across software sourcing, vendor management, and compliance workflows, implementing data-driven process optimizations that improved development agility and productivity.
• Collaborated with cross-functional teams across procurement, software engineering, DevOps, and compliance functions to support continuous improvement initiatives and ensure adherence to client SLAs and industry quality standards.
• Delivered actionable insights and executive reports aligning software planning, procurement, and vendor performance with corp orate governance, compliance, and strategic technology objectives.
• Automated SQL reports and Power BI dashboards to track SLA and throughput KPIs, using Python (Pandas) for predictive asset utilisation analysis, cutting resource reallocation time by 20%.
• Used Python (Pandas) for predictive trend analysis on software asset utilization, enabling faster resource reallocation

Master of Science in Engineering Management – University of Dayton, Ohio (2023-12)

Bachelors of Engineering in Computer Science – BMS College of Engineering, Bangalore, India (2021-08)