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Data Engineer

  • Share new technologies
  • Release useful services using data.
  • Utilizes Variety Big data, ML,DL technologies.
  • Try to make USEFUL end to end service that actually users need.
  • Value growth together through various studies and community activities.
  • Using Cloud

Interest

  • Public Cloud(NCP, GCP, AWS, Azure)
  • Data Engineering(kafka,hadoop,spark)
  • Machine Learning & Deep Learning
  • Python(DjangGo, Flask)
  • k8s
  • Leadership, Writing, Presentation
  • Community(Tensorflow KR, Kaggle KR, etc.)

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ai-python-sample's People

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