Resume

Interests

• ML Engineering, MLOps
• Machine Learning, Deep Learning
• Spatial AI/Statistics
• Front-end
• Block-chain

Skills

• ML Engineer : MLflow, Airflow, Docker
• ML/DL, Data Analysis : Python (Tensorflow, Keras, Pytorch), R
• Data Engineering : PostgreSQL, Linux/Shell
• CI/CD : Git, Jenkins
• CSP : AWS (EC2, RDS, S3, ECR)

Work Experience

B2EN (2022.06 ~ )

1. Project : 늘(NEUL) 서비스 데이터 플랫폼 구축 및 운영 (2022.06 ~ )

• Role : ML Engineer, Data Scientists, Data Analyst
• ML 파이프라인 구축 및 CI/CD 적용
• 의료 데이터 기반 질병 예측 모델 개발 및 고도화
• 요양병원 의료 데이터 표준화 및 ETL 파이프라인 구성

Openamte-on (2021.07 ~ 2022.05)

• Role : Data Analyst, Data Scientists
• 상업용 부동산 컨설팅 (MD 구성)
• 가구 소비유형 도출 모델 고도화
• 상업용 부동산 컨텐츠 기획 및 개발

Education

• M.S. Department of Geography, Kyung Hee University, Seoul, South Korea [2019 - ]
• B.S. Department of Geography, Kyung Hee University, Seoul, South Korea [2013 – 2018]

Peer-reviewed Journal Articles

1. Kim, J., Lee, Y., Lee, M. H., & Hong, S. Y. (2022). A Comparative Study of Machine Learning and Spatial Interpolation Methods for Predicting House Prices. Sustainability, 14(15), 9056.
2. Seong, J., Hwang, C. S., Stanescu, A., Lee, Y., & Lee, Y. (2022). What Geographers Research: An Analysis of Geography Topics, Clusters, and Trends Using a Keyword Network Analysis Approach and the 2000-2019 AAG Conference Presentations. International Journal of Geospatial and Environmental Research, 9(1), 1.
3. Lee, Y., Lee, Y., Seong, J., Stanescu, A., & Hwang, C. S. (2020). A Comparison of Network Clustering Algorithms in Keyword Network Analysis: A Case Study with Geography Conference Presentations. International Journal of Geospatial and Environmental Research, 7(3), 1.
4. Lee, Y., & Hong, S.-Y. (2019). A machine learning approach to the prediction of individual travel mode choices. Journal of the Korean Data & Information Science Society, 30(5), 1011-1024.

Professional Experience

Research Assistant, Kyung Hee University, Geospatial Big Data Lab [May.2017 – Feb.2021]

1. Effects and solutions of backward locking for spatial data imputation using a deep learning based approach (sponsored by National Research Foundation of Korea) [Sep.2020 – Feb.2021]
2. Analysis for Research Trend in Conference: Development of Generic Platform with Semantic Network Analysis and Big Data Analysis (sponsored by Institute for Information & Communications Technology Planning & Evaluation) [Jul.2019 – Jun.2020]

Awards

[2021]

1. 2021 KAGES-IJGER Career Paper Award