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Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Arctic Code Vault Contributor

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sguys99/README.md

Kwang-Myung Yu (유광명)

Work experience

  • PwC Consulting, Digital & AI, Director (2024 ~ )
  • MakinaRocks, AI Project Team, Part leader, ML engineer (2023 ~ 2024)
  • GIVITA, AI Part, AI Engineer (2022)
  • Samsung Electro-mechanics, Equipment Engineering R&D Institute, pricipal research engineer (2021 ~ 2022)
  • Korea Electric Power Corporation(KEPCO), Data science lab., senior data scientist (2010 ~ 2020)
  • POSCO EnC, Power tech group., control system engineer (2008 ~ 2010)

Research interests

  • Machine learning for industrial application : Anomaly detection(imbalanced learn, unsupervised approach), time series forecasting, optimization, automatic control
  • MLOps, Deep learning for mobile platform(Jetson, Raspberry Pi), Computer vision

Honors and Activities

  • 2nd prize of the power plant big data AI competition, Korea East-West Power Corporation, 2020
  • Best research award, KEPCO research institute, 2018
  • Academic excellent student, Pusan national university, 2003 ~ 2006
  • Lecture
    • Data science basics for ICT employees, KEPCO, 2019
    • Control system tuning and data analytics, KITI, 2014 ~ 2023
  • Activities
    • Happy plant : personal blog for Data science, machine learning, and automatic control [link]
    • Turtles : personal AI project [Github]
  • Publications
    • 파이썬 코드로 배우는 Git&Github : [link]
    • git for visual studio users : [link]

Stack









Contact

LinkedIn face book Email

Pinned Loading

  1. practice-git-materials practice-git-materials Public

    Python 5 7

  2. Hands-on-timeseries-analysis Hands-on-timeseries-analysis Public

    Jupyter Notebook 1

  3. Anomaly-detection Anomaly-detection Public

    personal research materials for anomaly detection

    Jupyter Notebook

  4. Deep-learning-for-CV Deep-learning-for-CV Public

  5. Kaggle-Data-Science-Study Kaggle-Data-Science-Study Public

    Kaggle competition study repository

    Jupyter Notebook

  6. Datascience-tips Datascience-tips Public

    Some tips for data analysis or developing machine learning models

    Jupyter Notebook 1 1