Ashwin Naik

Supply Chain Analyst with 4+ years of experience in procurement analytics, inventory management, supply chain planning, logistics, and data-driven decision-making. Skilled in SQL, Python, Power BI, Snowflake, AWS, SAP S/4HANA, and Advanced Excel. Experienced in forecasting, KPI reporting, transportation analytics, and reporting automation. Proven success improving inventory availability, forecast accuracy, fulfillment, and operational efficiency through data-driven supply chain solutions.

Supply Chain Analyst - Wayfair - USA

(2023-10)

• Optimized demand planning and inventory strategies by analyzing enterprise sales, inventory, fulfillment, and logistics data using SQL, Python, Snowflake, and AWS across high-volume product categories efficiently and consistently across operations.
• Designed AI-driven demand forecasting models and supply chain control tower dashboards using Machine Learning, Snowflake, and Power BI, enabling real-time visibility into inventory, warehouse, transportation, and KPIs and decision support.
• Improved inventory availability by 30% through multi-echelon inventory optimization, safety stock modeling, replenishment planning, and demand forecasting, reducing stockout risks while maintaining targeted service levels consistently across targeted product portfolios.
• Streamlined transportation planning and carrier allocation using Python-based analytics, reducing delivery delays by 28%, optimizing last-mile logistics performance, and improving on-time order fulfillment and customer satisfaction while strengthening carrier performance.
• Developed executive Power BI dashboards and conducted KPI analysis, root cause investigations, scenario modeling, and risk assessments using SQL, Snowflake, and SAP S/4HANA to improve operational performance and decision support.
• Automated enterprise data pipelines using AWS S3, Apache Airflow, dbt, and Snowflake, integrating procurement, inventory, fulfillment, and logistics data while reducing manual reporting and improving data quality across dashboards scalable.
• Tracked OTIF, inventory health, transportation costs, warehouse productivity, and fulfillment performance through automated dashboards, enabling proactive supply chain decisions, performance monitoring, risk identification, and continuous operational improvements across enterprise operations.

Jr. Supply Chain Analyst - Seagate - India

(2019-07 - 2021-11)

• Supported demand planning and inventory management using SQL, Advanced Excel, and Power BI across regional distribution networks.
• Developed Power BI dashboards monitoring inventory health, demand trends, service levels, and operational KPIs while reducing manual reporting requirements.
• Improved product availability by 20% through demand forecasting, safety stock optimization, and inventory analysis across high-demand product lines.
• Reduced excess inventory by 15% through stock aging analysis, inventory segmentation, and reorder optimization, improving inventory turnover.
• Monitored procurement, shipments, and fulfillment using SAP MM, ERP systems, and SQL, identifying lead-time variances across supply chain operations.
• Collaborated with procurement, logistics, warehouse, and business teams to optimize replenishment strategies and improve supply chain performance.
• Improved on-time delivery by 18% through supply chain analysis, replenishment optimization, cross-functional coordination, and continuous improvement initiatives.

Master's - Engineering Management - Trine University (2023-05)