Jun Ting Yeoh

Jun Ting Yeoh

Project Intern

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location of Jun Ting YeohSingapore

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  • Timeline

  • About me

    Electrical Engineering Undergraduate at National University of Singapore

  • Education

    • National University of Singapore

      2021 - 2025
      Bachelor of Engineering - BE Electrical Engineering

      • Minor in Data Engineering• Specializations in Industry 4.0 & IoT• IEEE HKN NUS Director of Community Engagement 2023- • TeachSG Mentor Leader • Student Energy NUS Member• Hanyang International Winter School 2022• RVRC Symposium Speaker 2022• Shopee Coding League 2022• Dean's Lists AY22/23 , AY23/24

    • University of Bristol

      2024 - 2024
      ENGINEERING

      Coursework:Statistical Machine Learning MATH30028Discrete Mathematics 2 EMAT20540Lines and Waves EENG25000Antennas EENG35010Partial Differential Equations EMAT30010

  • Experience

    • Land Transport Authority (LTA) Singapore

      Dec 2018 - Dec 2018
      Project Intern

      Engineering based project internship (LTA express). Worked with team to present potential ideas to tackle problems regarding the transport industry. Project included collecting and analysing data about noise pollution generated from moving MRTs along train tracks, and the efficiencies of relevant materials to tackle this problem.

    • DSTA

      May 2022 - Jul 2022
      Project Intern

      • Researched on 5G and its uses leading to a report on possible implementations• Researched various models to best predict coverage and developed a calculator for reference• Assisted mentor in project management onsite and experienced the challenges of a project engineer

    • National University of Singapore

      Aug 2022 - May 2023
      Teaching Assistant

      CS1010E Teaching Assistant for Semesters 1 and 2 of AY 2022/2023Taught students on Python and coding knowledge. Answered students queries and graded assignments

    • DSO National Laboratories

      May 2023 - Aug 2023
      Research Intern

      • Used signal processing techniques to find Radio Frequency interference on real world signals gathered from synthetic aperture radar• Leveraged data processing libraries given a large dataset to find analytics and anomalies for systems enhancement• Documentation and integration of all relevant code in local codebase and server

    • DSO National Laboratories

      Jun 2024 - Aug 2024
      Reinforcement Learning Intern

      Worked on Reinforcement learning for a continuous control problemResearched on reward function shaping and methods to improve RL controller performance

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Jun Ting Yeoh
      NUS Global Merit Scholarship NUS Aug 2021
  • Volunteer Experience

    • Student Mentor, Group leader

      Issued by Teach SG on Mar 2022
      Teach SGAssociated with Jun Ting Yeoh