Fatin Nabilah Mohd Yasin

Fatin Nabilah Mohd Yasin

Production Engineering Intern

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location of Fatin Nabilah Mohd YasinSubang Jaya, Selangor, Malaysia

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  • Timeline

  • About me

    Project Engineer at Emerson | Graduate in Instrumentation and Control Engineering

  • Education

    • MARA Junior Science College (MRSM)

      2012 - 2016
      SPM
    • Universiti Kuala Lumpur

      2021 - 2024
      Bachelor of Engineering Technology (HONS) In Instrumentation And Control Engineering Electrical and Electronics Engineering

      Activities and Societies: Secretary Bachelor Instrumentation and Control Engineering (BICE) club UniKL Mitec, Johor

    • German-Malaysian Institute

      2017 - 2020
      Diploma Process Instrumentation And Control Engineering
  • Experience

    • Tenaga Cable Industries Sdn. Bhd.

      Jul 2019 - Dec 2019
      Production Engineering Intern

      - Exposed and actively involved in 3-core cable manufacturing process- Assist in conducting chemical testing for 3-core cable process- Provide updated data performance for thickness of cable- Provide technical support during material testing inspection

    • Emerson

      Oct 2023 - now

      - Measurement Solution (MSOL) Department - Rosemount Department

      • Project Engineer

        Apr 2024 - now
      • MSOL Project Trainee

        Oct 2023 - Mar 2024
  • Licenses & Certifications

    • Graduate Technologist

      Board of Engineers Malaysia
      Feb 2025
    • CIDB Malaysia

      CIDB Malaysia
      Jul 2023
    • Gas Fitter class III

      UTM-IFOG's Page
      Aug 2023
  • Honors & Awards

    • Awarded to Fatin Nabilah Mohd Yasin
      International Research Conference and Innovation Exhibition 2022 (IRCIE 2022) Special Award Nov 2022 - Project : Plant Disease Detection and Classification by Deep Learning using DJI Tello Robomaster drone.- Consist of 3 members in a group
    • Awarded to Fatin Nabilah Mohd Yasin
      International Research Conference and Innovation Exhibition 2022 (IRCIE 2022) Gold Award Nov 2022 Project: Plant Disease Detection and Classification by Deep Learning using DJI Tello Robomaster drone