Vignesh Subramaniam

• Designed automated dashboards and reports using Power BI, Excel, and Python for small businesses.
• Performed data cleaning, validation, and transformation to support business decisions.
• Built custom automation tools to accelerate reporting, vendor analysis, and inventory tracking.

Supply Chain Analytics & Reporting

• Analyzed supply chain, sales, demand, and inventory data to identify trends, mitigate stockouts, and support forecasting decisions.
• Built Power BI dashboards that visualized KPIs, inventory levels, supplier performance, cycle times, and order flow for decision-makers.
• Conducted ad hoc analysis to help leadership evaluate demand changes, customer trends, and operational issues.
• Detected data inconsistencies and implemented processes that improved data accuracy across ERP/SAP systems.

Demand & Supply Planning Support

• Monitored inventory gaps, replenishment needs, and forecast deviations using historical data and consumption patterns.
• Partnered with procurement and operations teams to adjust ordering strategies based on lead times, supplier constraints, and demand shifts.
• Developed automated Python scripts to generate daily/weekly supply-demand reports.

Data Processing, Automation & BI Tools

• Automated repetitive data-processing tasks using Python, Excel formulas, and Zapier workflows, reducing manual work by ~30%.
• Integrated ERP, spreadsheet, and vendor data sources into unified analytics models.
• Created standardized templates and documentation for data processing, dashboards, and reporting procedures.

Cross-functional Collaboration

• Coordinated with purchasing, warehouse teams, finance, and suppliers to ensure alignment on stock levels, shortages, and material flow.
• Provided insights and recommendations to senior management to improve service levels and cost efficiency.
• Supported onboarding of new operational processes and tools by training staff and writing SOPs.