Sai K.

About Sai K.

I’m a Supply Chain Analyst with 5+ years of experience supporting global operations across technology, consumer goods, and e-commerce organizations—including Apple, Coca-Cola, and Amazon. I specialize in transforming complex supply chain data into actionable insights that improve service levels, reduce excess inventory, and strengthen operational planning.My expertise spans end-to-end supply chain processes: inventory optimization, demand forecasting, S & OP/IBP, supply risk management, logistics planning, and KPI performance tracking. I’m highly skilled in SQL, Python, SAP (ERP & IBP), Power BI, and Tableau—frequently building automated dashboards and statistical models that enhance decision-making and streamline reporting.I’ve driven results such as:Reducing global carrying costs by $500K through dynamic safety stock optimizationImproving inventory turnover by 7% through A/B testing of allocation algorithmsIncreasing forecast accuracy by 7% and reducing bias by 10% within an enterprise S & OP cycleAutomating data workflows to improve data processing efficiency by 25%+Supporting large-scale, high-velocity operations with 98–99% service levelsI’m passionate about using analytics, cross-functional collaboration, and continuous improvement to solve supply chain challenges at scale. I enjoy working at the intersection of data, operations, and strategy—and I’m always exploring new ways to implement AI, automation, and predictive modeling to drive supply chain excellence.Currently open to roles in Supply Chain Analytics, Operations Planning, Inventory Management, and related analytical functions. Open to relocation.

Experience

1. Supply Chain Specialist

   Apple

   Jan 2024 — Present

   Optimized inventory levels for a key component across global suppliers by implementing a dynamic safety stock model, reducing carrying costs by $500K and maintaining 99% material availability for production operations.• Led the pilot project of implementing a Generative AI automation tool to analyze supplier communications and logistics reports, identifying potential disruption risks 2 weeks earlier and improving response planning.• Partnered with Data Science Teams to conduct A/B tests on inventory allocation algorithms; performed statistical analysis in Python (SciPy, StatsModels) and validated dashboards, confirming a 7% improvement in inventory turnover for the selected model.• Built complex SQL datasets in Snowflake using window functions and CTEs to support Tableau dashboards, enabling granular visibility into inventory trends and reducing ad-hoc data requests by 35%.• Managed a multi-million-dollar inventory portfolio using SAP ERP, reducing excess stock by 10% while sustaining a 98.8% global service level.• Facilitated monthly cross-functional reviews with Finance, Sales, and Operations teams, delivering data-driven forecasts, supply risk assessments, and insights for quarterly planning.

Education

• University of Dayton

  Master's Degree

• GITAM Deemed University

  Bachelor's Degree

• University of Aberdeen

  Master's Degree

• University of Aberdeen

  Master of Science - MS, International Business Management

• Gandhi Institute of Technology and Management (GITAM)

  Bachelor of Technology - BTech, Mechanical Engineering

• University of Dayton

  Master of Science - MS, Engineering/Industrial Management