Simeng(Amy) N.

•Improved Image Sensor parts level (Includes NPI/ EOL) forecast accuracy by developing VBA Macro and improving existing forecast model assumption such as customer history demand and long-term shipping agreement to identify future demand trends. • Established KPIs utilizing best practices to monitor demand forecast performance to achieve 70%, traced weekly QlikView visualization dashboard to continuously decrease MAPE. • Controlled inventory flow by monitoring customer weekly run rate and weeks of inventory, kept statistical safety stock, revised constrained demand forecast insights based on capacity constraints feedback of wafer starts, analyzed beginning/end of quarter billing and backlog performance to achieve fill rate and revenue target. • Engaged with cross-functional teams to facilitate communication flow among stakeholders including supply planner, operations, and sales using system tools Blue Yonder and Kinaxis to present multiple forecast scenarios. • Became a subject matter expert across the various products encompassed in product portfolio by driving quarter revenue quote project and acquired semiconductor market hardware knowledge on components that fall under the portfolio of responsibility. • Implemented process improvement brainstorming such as data collection maintained, data compiling and report automation to increase work efficiency and maintain sustainability efforts.

• Incorporated data gathered from category marketing, supply planner, channel sales, and customers to ensure key customers sell in forecast consistency at multiple levels including base business trends, promotional plans, new launch volumes, seasonality, and retention strategy changes. • Reviewed historical sales trends and coordinated cross-functional teams to reconcile significant variances and refine the statistical forecast model, demand drivers and marketing assumptions. • Used CPFR as the primary tool to oversee 100+ SKUs and maintained the proper inventory level, achieving the target service level and OTIF (On-Time & In-Full) delivery as around 70% forecast accuracy and 92% in stock rate. • Generated forecast accuracy analysis by MAPE (Mean Absolute Percentage Error) and applied error analysis to determine the factor that caused the nonconformance by RCA (Root Cause Analysis), helping demand forecast increase 16.39% especially for the new-developed-business in the previous two quarters.

TA - Applied Economics

GA - Global Transportation

VP of Supply Chain Management Association Communication and Marketing •Led the class to visit Washington Post and Amazon warehouse in Baltimore to familiarize their logistics and supply chain management. •Promoted activities on official accounts via Instagram, Facebook, and LinkedIn. •Provided improvements on interest learning by collecting feedbacks from social networks. International Orientation Leader •Guided new students in remote international student orientation on fall 2020 by walking through the campus life based on personal experience, such as tuition payment, courses registration, and academic resources availability.

Japan Studying: Visited the headquarters of Nippon, the cargo warehouse in Narita Airport, the Saitama Prefecture Office and the NGU Training Building; had a comprehensive understanding of corporate culture and goals.