Kiranjith M
Supply Chain Analytics @ Nike | Purpose Driven | Problem Solver | Ex-Volvo, Hyundai | NC State Alumni | Forecasting | Data Science | E2E Supply Chain Analytics & Optimization
- Role
- Senior Supply Chain Business Analyst, Na - Nike Direct Operational Forecasting & Analytics at 耐克
- Location
- Beaverton, OR, US
- LinkedIn followers
- 500 followers
About Kiranjith M
A passionate supply chain enthusiast with over 5 years of experience in Supply Chain Management focused in Supply Chain Planning, Forecasting, Procurement, Warehousing, Inventory Management and Supply Chain Analytics. My expertise lies in analyzing processes and transforming complex data into actionable recommendations to drive business growth. Strong analytical, problem-solving and decision-making skills have helped me excel in my field.Skills-• Technical: Inventory Management, Warehousing, Purchasing, Demand Forecasting, Material Requirement Planning (MRP), Lean Six Sigma• Data Analytics: Advanced MS Excel (LOOKUPS, Pivot Tables, VBA, Macros), SQL (Snowflake, MySQL, Oracle, MS Access), Databricks, Python, JMP Pro, Stat Crunch, Alteryx• Data Visualization: Power BI, Tableau• Enterprise Resource Planning systems(ERP): SAP APO, SAP S/4 HANA, AMOS• Warehouse Management System (WMS): Dlx Red Prairie• Work Management: JIRA, Azure DevOps, MIRO• Other Software: Power Apps, Power Automate, Auto CAD 2D, CATIA V5 Certifications- Lean Six Sigma Green Belt Please feel free to reach out to me via LinkedIn or my email: k••••••@ncsu.edu
Experience
Senior Supply Chain Business Analyst, Na - Nike Direct Operational Forecasting & Analytics
Jun 2025 — Present · Beaverton, OR, US
Build, and own advanced mathematical model-based forecasting solutions leveraging transportation carrier strategy, node-level demand signals, and stock transfer orders (STOs) to drive optimized logistics, and stochastic allocation decisions across peak and non-peak periods• Develop and operationalize scalable, automated solutions for Nike Direct channels using Databricks and SQL, improving forecast accuracy, responsiveness, and real-time optimization of product flow and network efficiency• Independently interpret outputs from enterprise forecasting models(Nike Digital and Stores) and translate complex insights into clear, actionable recommendations to influence distribution center (DC) planning, inventory positioning, and operational execution decisions• Analyze historical demand patterns, capacity constraints, and supply plans to generate DC-level and product-engine-level operational forecasts that inform monthly and daily ship goal targets for Nike Stores
Education
North Carolina State University
Master's degree, Industrial Engineering/ Integrated Manufacturing Systems Engineering
Anna University Chennai
BE - Bachelor of Engineering, Mechanical Engineering
2015 — 2019
SBOA Matriculation & Higher Secondary School, Chennai
HSC
2001 — 2015
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