AutoForecast AI (Concept)
- Detect excess/obsolete parts using history + engineering signals (ECNs, holds, PPAP).
- Explainable recommendations: stop-buy, phase-out, safety stock adjustment.
Master Scheduler · Supply Chain & Forecasting · UTEP Student (Information Systems & Business Analytics)
Built and refined with AI assistance as part of CIS 4399 and deployed on my Linode server.
Forecast accuracy, schedule stability, inventory risk & obsolescence visibility.
Automotive manufacturing & supply chain operations (planning, procurement, execution).
SAP, Power BI, Excel dashboards, forecasting models, reporting automation.
Supply chain and planning professional with experience in procurement, inventory planning/control, supplier coordination, forecasting, and operational reporting in automotive manufacturing environments. Strong analytical mindset with business systems skills (SAP, Power BI, Excel) to improve visibility and execution.