Gayathri

Supply Chain and Operations professional with 4+ years of experience driving data-driven planning, inventory optimization, and operational improvements across global supply networks. Skilled in supply chain analytics, demand forecasting, S&OP, ERP systems, and business intelligence solutions to improve visibility, resilience, and decision-making. Experienced in translating complex commercial, inventory, and operational data into actionable insights for cross-functional teams across supply planning, procurement, and revenue operations.

Hands-on expertise with Power BI, SQL, SAP S/4HANA, Oracle Fusion, forecasting models, and process automation.

Supply Chain Analyst at Athena Cosmetics (2025-01 – Present)

• Managed supply planning analytics for a ~$2M global packaging portfolio, aligning inventory availability, demand signals, and commercial requirements to achieve 98% on-time fulfillment.
• Developed Power BI supply chain dashboards tracking inventory health, fulfillment performance, forecast accuracy, and operational KPIs, improving leadership visibility into supply risks and execution performance.
• Analyzed demand variability, supply constraints, and inventory trends to improve forecast assumptions and reduce excess inventory by 15%.
• Supported ERP transformation initiatives (Oracle/SAP), validating 10K+ supply chain records and improving data accuracy across planning and reporting processes.
• Partnered with Sales, Operations, and Supply Chain teams to identify execution risks and improve alignment between demand planning and supply capabilities.

Commercial Analytics & Planning Analyst at Doublene USA (2024-02 – 2024-12)

• Managed analytics and material planning activities for a $3.5M feedstock portfolio, supporting production readiness, BOM accuracy, and supply continuity.
• Built automated reporting workflows using Advanced Excel, Power Query, and data modeling techniques, improving order accuracy by 20% and increasing operational visibility.
• Analyzed production constraints, inventory availability, and demand patterns to support S&OP decisions and reduce revenue-impacting delays by 18%.
• Improved planning reliability by integrating operational data sources and developing KPI-driven insights for cross-functional decision-making.

Supply Chain Analyst at TheSmartBridge (2020-04 – 2022-07)

• Developed SQL and Power BI analytics solutions to monitor operational performance, supply chain KPIs, and business trends, improving process efficiency by 12%.
• Supported S&OP processes through demand analysis, capacity planning inputs, and consolidation of large operational datasets.
• Conducted procurement and supplier performance analysis, contributing to 10% cost reduction and 15% lead-time improvement.
• Built data-driven recommendations to improve inventory visibility, supplier performance, and operational execution.

M.S. in Information Systems – University of Maryland, Baltimore (2022 – 2024)

B.Tech. in Computer Science Engineering – Gitam University (2018 – 2022)