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model library for imbalanced-learning & anomaly detection in tabular, time series data
License: MIT License
Makefile 0.38%
Python 65.57%
Jupyter Notebook 34.05%
catchminor's Introduction
- 2014.03~2020.08
Department of Applied Statistics, Yonsei University
(Bachelor's degree)
- GPA : 3.8 / 4.3
- 전공GPA : 4.1 / 4.3
- 2020.08~2022.08
Department of Statistics and Data Science, Yonsei University
(Master's degree)
- 2018.09~2018.12
SKT
T-worx Intern (research, data analysis)
- 2021.10~2021.11
MakinaRocks
Machine Learning Engineer Intern
- 2021.11~2022.10
NHN (Payco)
Data Scientist
- 2022.11~
kakao
Data Scientist
- 연세대학교 빅데이터 학술동아리
YBIGTA
디자인팀, 데이터엔지니어링팀 활동
- 2018.01~2018.12 디자인팀 : 데이터분석, 데이터시각화, 머신러닝
- 2020.06~2021.04 엔지니어링팀 : Hadoop, Spark 등 데이터엔지니어링에 대한 공부 (이론 밎 간단한 실습)
- 2019.06~2020.06
DS school
데이터사이언스 입문반 조교, R&D
- 2021.07~2021.09
Fastcampus
Deep Learning 완독 온라인완주반 조교
- ML, DL fundamental
- Imbalance Learning, Anomaly Detection (time series, tabular)
- (have experience) NLP, Time Series, GNN
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