Eihjay Armas

Background

About Eihjay Armas

Professional Experience: Production Planner & KPI Analyst Molex Integrated Products Phils. Inc, TECO Industrial Park Bundagul, Mabalacat, Pampanga, Philippines July 2022 – Present Led the redesign of the production scheduling process, incorporating advanced Excel models and Power BI dashboards, resulting in a 15% improvement in production efficiency. Developed custom KPIs to monitor and analyze production performance, supply chain logistics, and inventory management, enhancing decision-making and reducing excess inventory by 20%. Implemented a Power BI-driven reporting system that automated the generation of performance reports, saving approximately 20 hours per week in manual reporting processes. Collaborated with IT and production teams to integrate SQL system data with Power BI, ensuring real-time data accuracy and accessibility. Production Planner & Data Analyst Nanox Philippines Inc, Clark Freeport Zone, Angeles City, Pampanga, Philippines. July 2017 – June2022 Utilized Excel to create and maintain complex production schedules, improving on-time delivery rates from 85% to 95%. Analyzed historical production data to forecast demand, assisting in the implementation of a Just-In-Time (JIT) inventory system that reduced inventory holding costs. Conducted variance analysis to identify discrepancies between planned and actual production, leveraging findings to refine planning processes and reduce variances by 15%. Skills Expert in Microsoft Excel (macros, pivot tables, complex formulas) Proficient in Power BI (data modeling, & visualizations) In-depth knowledge of production planning and inventory management systems (e.g, SAP) Strong analytical and problem-solving skills Excellent communication and teamwork abilities Familiarity with lean manufacturing principles and practices Projects Real-Time Production Dashboard Implementation Led the development and launch of a real-time production and inventory management dashboard using Power BI, which provided instant visibility into key performance metrics, significantly enhancing operational responsiveness. Excel-Based Forecasting Model for Production Planning Designed and implemented an advanced Excel-based forecasting model that accurately predicted production needs, optimizing resource allocation and minimizing overproduction.