About

Undergraduate research assistant at Nanyang technological university (2018)
- Developed Korean sentiment resource KSenticNet based on SenticNet and Korean wordnet
- Gained better understanding on NLP model structure with Tensorflow
Samsung Research Internship (2019)
- 7 week internship at smart device team
- Deep learning on battery SoC estimation with Pytorch

Yonsei university (2014 - 2020)
- GPA: 4.21 / 4.5
- Majors: Economics, Computer science
Nanyang technological university (2018)
- Computer science class, as an exchange student

Korean sentiment resource KSenticNet
- Finetuned Korean word embedding with Bi-LSTM, Attention, NTN structures
- Crawled definitions of each Korean word with bs4
- Gave sentiments over 5000 korean words
- https://github.com/zzaebok/ksenticnet
Real/Fake Image classication model
- 2019 computer vision course project
- Ensemble model using both Resnet and Densenet
- Performance: 4th in over 40 teams in the class
- https://github.com/zzaebok/2019-Computer-Vision/tree/master/project
Battery SoC estimation with deep learning model
- During internship in Samsung research
- Current, voltage, temperature as an input, Battery SoC as an output
- Used LSTM and attention mechanism
- Confirmed applicability of Monte Carlo dropout to predict uncertainty
Cross sectional analysis of professors’ salaries
- 2018 econometrics course project
- Used SAS statistics program
- Developed Mincer’s earning function
- Salary was decided mainly by the ‘number of papers per year’ factor