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JT-Kim89/README.md

👋 Hi, I’m @JT-Kim89
I’m an Ocean Engineer with a strong interest in Floating Offshore Wind Turbines (FOWT). Recently, I’ve been working on automating OpenFAST simulations using Python to streamline the process of file generation, simulation execution, and post-processing the results. This includes evaluating the strength of mooring lines and analyzing fatigue damage based on DNV standards.

I also hold a Big Data Analysis Engineer certification, which I obtained in South Korea in July 2024. The certification includes practical evaluations in Python-based data analysis (using Pandas), statistics (using SciPy.stats), and machine learning (using Scikit-learn).

👀 I’m interested in

  • Floating Offshore Wind Turbines (FOWT)
  • Wind energy engineering and simulation tools
  • Mooring systems and structural integrity analysis
  • Data analysis and machine learning for engineering applications

🌱 I’m currently learning

  • Python (for automation and simulation)
  • OpenFAST and other simulation platforms (Bladed, OrcaFlex, ...)
  • C# (to develop optimization tools for FPSO dimensions)

💞️ I’m looking to collaborate on

  • Projects related to floating wind turbines, renewable energy, or offshore engineering
  • Tools for optimizing offshore structures (FPSO, FOWT, etc.)
  • Data analysis and machine learning for offshore and renewable energy systems
  • Anyone interested in automating engineering simulations or working with OpenFAST

📫 How to reach me

  • Email: [email protected]
  • LinkedIn: [your LinkedIn profile]
  • GitHub: [your GitHub profile]

😄 Pronouns: He/Him

⚡ Fun fact: My English name is Jung-tae Kim, but funnily enough, in Germany, people often call me "Yung-tay Kim" because of the way they pronounce it!

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  1. 04.python_big_data_analysis 04.python_big_data_analysis Public

    [80시간 단기 완성]빅데이터분석기사 실기 대비(최신 출제경향 반영)_by 파이썬_A / 더조은컴퓨터에듀 / 2023.10.21~2023.11.19(주말)

    Jupyter Notebook

  2. 05.python_ProDS_Associate 05.python_ProDS_Associate Public

    [ProDS] Python을 활용한 데이터 분석 실습(초급) / 멀티캠퍼스(온라인) / 2023.12.01~2023.12.31

    Jupyter Notebook

  3. 06.python_ProDS_Advanced 06.python_ProDS_Advanced Public

    [ProDS] Python을 활용한 데이터 분석 실습(중급) / 멀티캠퍼스(온라인) / 2024.01.01~2024.01.31

    Jupyter Notebook

  4. 08.Numerical_Analysis_using_Python 08.Numerical_Analysis_using_Python Public

    Jupyter Notebook