Meng Vue

Equipment Coordinator, L1 at Amazon Fullfilment Center | Certified I.T Professional with Google I.T Certificate | Growth with I.T | 6+ years Customer Service

Sacramento, California, United States

About

With more than 6 years of experience in customer service, I've always strive to be customer-centric, ensuring that customer receives what they need with dull diligence while going above and beyond with duty. I graduated from Merit America and obtained the Google I.T Certificate program. I enjoy working with computers and learning technology as technology advances and grows every day in our society. which is continuously changing and improving our everyday lives. A user who spends time self-learning in using Adobe Soft, Clip Studio, Paint Tool Sai, GIMP, Sketchup, Blender, Ren'py, RPG Maker, Unity, and MMD as a hobby. Skills: Analytical | Inventory Control | Customer Service | Team Player | Time Management | Troubleshooting | Windows OS/Mac OS

Experience

  • Amazon (Full-time · 9 yrs 4 mos)
    • Equipment Coordinator
      Jan 2024 - Present · 2 yrs 7 mos

      *Responsible for the RMA and repair process for all devices under warranty. *keep track of inventory, order new equipment, and distribute equipment. *Allocation and maintenance of IT equipment throughout the Fulfillment Center. *Install, and configure software and hardware, monitor system performance, troubleshoot issues, and provide technical support.

    • Fulfillment Associate
      Apr 2017 - Feb 2024 · 6 yrs 11 mos

      •An Amazonian employee that started at DSM1 on April 27th, 2017, and transfer to SMF1 on February 23rd, 2018. •A Sorter, Dock Loader, and Yard Marshall at DSM1 •A Full-time associate at SMF1 that is trained in Stow, Floor Load, Water Spider, Sort Flow, Orange Crush, Problem-Solving, Damage Land, and Inventory at Odd Locations.

  • Data Entry Associate at Introlligent
    Dec 2016 - Feb 2017 · 3 mos

    •An image analyzer contract project to optimize and visualize a machine learning A.I. software recognition program •Analyzed and annotated images, using object identification software to label and determine additional details under their appropriate category for A.I. recognition while processing nearly 1,500+ images on a daily basis