smldlyst Goto Github PK

• Bachelor of Science in Statistics, Pusan National University (2023)

• AI Engineer, INEEJI (2023.1. ~ 2023.8.)

  • Time Series Prediction
  • Time Series Anomaly Detection
  • DB Optimization(Query, Table)
  • Develop DB API

• Public Servant, Statistics Korea (2016-2018, 1 year)

  • Creating statistics (using SAS, SPSS)
  • General Affair

1. Model Deployment
   : I can perform statistical and machine learning modeling for regression/classification prediction skillfully, and I have studied the theoretical background of most models. also, I can apply AutoML & XAI to the analysis. I keep studying deep learning and XAI.

2. API Deployment
   : I can develop DB API and Model API and have the ability to distribute them to the cloud.

3. App development
   : I can develop an app that provides data analysis results through the R Shiny framework. (Currently, I am studying developing apps through full stack.)

• Improvement of KB commercial area analysis & Development of Market fit indicator, for small business owners (2018) / Seoul National University (Excellence Prize)

• Pusan National University AI Open Source SW Hackathon (2021. 9. 10.~ 2021. 10. 8.)
• Seoul National University 4th Industrial Revolution Academy: Bigdata Analytics Courses (2018. 6. 18.~ 2018. 12. 14.)

• Analysis of Influencing Factors on Subjective Satisfaction (2022) *CFA, AutoML, XAI
• Development Credit rating model using statistical machine learning (2022) *glmboost
• Sightseeing Recommendation System (2021) *serving model api
• Improvement of KB commercial area analysis & Development of commercial district, for small business owners (2018) *r shiny

• Engineer Big Data Analysis (2022)

• Study & Interest

  • Time series, Deep Learning

• Military Service: Korean Air Force, Honorably Discharged (2019. 5. - 2021. 3)

If you have any questions about me, please contact me by e-mail. ([email protected]) Thank you!