Saikiran Bairu

About Saikiran Bairu

Results-driven Supply Chain Analytics professional with expertise in SAP-driven planning, inventory optimization, and data-driven logistics performance analysis. I specialize in transforming complex ERP and operational data into actionable insights that improve forecasting accuracy, operational efficiency, and strategic decision-making across supply chain networks.Currently working as a Supply Chain Analyst at GAINSYSTEMS in Chicago, I focus on integrating SAP data with advanced analytics tools to optimize demand planning, procurement, and warehouse operations. My work combines strong functional expertise in SAP IBP, SAP MM, and SAP WM with advanced data analytics capabilities using Power BI, SQL, Python, and Excel modeling to build scalable supply chain intelligence solutions.I have successfully delivered measurable improvements across multiple areas of supply chain operations, including:• Improving demand forecasting accuracy by 28% through regression-based forecasting models and interactive Power BI dashboards.• Reducing warehouse operational costs by 18% by analyzing SAP WM data and deploying real-time KPI dashboards.• Increasing supplier on-time delivery performance by 25% through automated supplier scorecards and procurement analytics.• Reducing excess inventory by 22% and stockouts by 17% using inventory optimization techniques such as EOQ, reorder point, and ABC segmentation.• Accelerating supply chain reporting and validation processes by 35% through SQL and Python-based data automation.

Experience

1. Supply Chain Analyst

   GAINS

   Mar 2025 — Present · Chicago, IL, US

   Drive data-driven supply chain optimization by leveraging SAP systems, advanced analytics, and BI tools to improve forecasting accuracy, operational efficiency, and logistics visibility. Collaborate cross-functionally with procurement, logistics, and planning teams to build automated analytics solutions that enhance decision-making and operational performance.• Improved demand forecasting accuracy by 28% by developing regression-based forecasting models in Excel and interactive Power BI dashboards utilizing SAP IBP data, enabling more accurate inventory and replenishment planning.• Optimized warehouse operations and reduced operating costs by 18% through detailed SAP WM data analysis and implementation of real-time KPI dashboards that enhanced storage utilization and throughput efficiency.

Education

• Lewis University

  Master of Science - MS, Computer Science

• Auroras Engineering college

  Bachelor of Technology - BTech, Computer Science and Engineering