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Monster-Moon/README.md

Hi there 👋

Hello, I'm Sangjun Moon!

I am statistical analyst who interested in data science. Especially, I have huge interest in convex optimization, neural networks, machine learning, and ranking probability model.

If you want to contact me, please leave me a message!

Linkedin BadgeGmail BadgeGithub.io


Experience

JUVIS, researcher
  • Customer-tailored behavioral recommendation research [2020.11 - 2021.03]
  • Data Mining Advancement Research [2020.02 - 2020.04]
  • Data mining research for AI consulting [2018.01 - 2018.06]
Neighbor system, researcher
  • Analysis of vehicle driving habits through C-ITS analysis [2019.01 - 2019.06]
Security Management Research Institute, researcher
  • Text mining research to discover promising future technologies [2017.04 - 2017.11]

Publications 📖

  • Sang Jun Moon "Efficient first-order methods for constrained optimization problems" PhD dissertation.
  • Gunwoong Park, Sang Jun Moon, Sion Park, and Jong-June Jeon “Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression.” Journal of Machine Learning Research 22(102) (2021): 1-41. [link]
  • Moon, Sang Jun, et al. “Learning Multiple Quantiles with Neural Networks.” Journal of Computational and Graphical Statistics (2021): 1-27. [link]
  • Moon, Sang Jun and Jeon Jong-June “Adaptive Stochastic Gradient Descent method under two mixing heterogenous models.” The Journal of the Korean Data and Information Science Society 28(6) (2017): 1245-1255. [link]

Education 👨🏻‍🎓

  • 2018.03 ~ 2021.08 : University of Seoul, South Korea (Ph.D. in Statistics)
  • 2016.03 ~ 2018.02 : University of Seoul, South Korea (M.S. in Statistics)
  • 2010.03 ~ 2016.02 : University of Seoul, South Korea (B.S. in Mathmatics)

Popular repositories Loading

  1. WebScraping WebScraping Public

    Web scraping code with R

    R 3

  2. fastXML fastXML Public

    fastXML with R code

    R 2

  3. gymR gymR Public

    Stochastic approximation with gym

    R 1

  4. l1pm l1pm Public archive

    Learning Multiple Quantiles With Neural Networks

    R 1 1

  5. Rtips Rtips Public

    Some notes for R

    R 1

  6. Monster-Moon.github.io Monster-Moon.github.io Public

    Forked from b2a3e8/jekyll-theme-console

    A jekyll theme inspired by linux consoles for hackers, developers and script kiddies.

    SCSS