Jung Daun (as of May. 2020)

Data Scientist with mission to make the world more equal

Work Experience

Data Scientist, Alycehealth, Seoul, South Korea (2020.06~)

  • Justified Role & Responsibility as a company’s first data scientist
  • Developing product’s machine learning and data-driven components with competitive speed and performance

Data Scientist, Neurophet, Seoul, South Korea (2017.09 ~ 2020.04)

  • Developed NEUROPHET’s core technology, deep-learning based medical segmentation softwares
  • Developed and maintained in-house Python library for Machine Learning and Neuroimaging
  • Led servicing machine learning algorithms
  • Developed google cloud based scalable medical image preprocessing system

Data Scientist Intern, Neurophet, Seoul, South Korea (2017.02 ~ 2017.09)

  • Trained neural network architectures for medical imaging task and implemented inference interface for pre-trained model in TensorFlow C++ API


Suwon Hi-tech Highschool

  • Majored in Electronics
  • IT Network and System Administration Class (2015~2016)
    • Trained Computer Systems, Networking and Telecommunication technologies
  • Big Data Class (2017)
    • Trained for 2017 province skills competition for Big Data
  • Student Exchange Program at Asahikawa-NCT

Data Science Self-training, GitHub ★ 42+

Mindmap of technologies that I used so far (2018)

Awards & Honor

2017 Gyeong-gi Province Skills Competitions, 1st Place

  • Classified user’s demographic information by internet history using raw user search queries & statistical Features. Received an award of $1,300
  • Skills: Python, gensim(Doc2Vec), scikit-learn, NumPy, pandas, XGBoost

Kakao Arena Shopping Category Classification, 5th Place out of 446 teams

  • Classified hierarchical online shopping category from large datasets including product informations. Received an award of $3,000
  • Skills: Python, scikit-learn, NumPy, pandas, H5py, TensorFlow

MICCAI 2018 - Grand Challenge on MR Brain Segmentation 2018, 13th Place

  • Developed segmentation system of gray matter, white matter, cerebrospinal fluid, and other structures on 3T MRI scans of the brain, and to assess the effect of (large) pathologies on segmentation and volumetry



  • Professional working proficiency


  • bilingual proficiency, Japanese Language Proficiency Test N1 Qualification


  • Native

Projects / Open Source

Koshort project owner (GitHub ★ 38+, 9+, 6+)

  • High-level API project including 3 Python packages for Korean natural language processing (NLP)

Team KoNLPy member (GitHub ★ 700+)

  • Open source project to lower barriers to Korean Natural Language Processing written in Python.

Tweepy contributor (GitHub ★ 5236+)

hangulize contributor (Github ★ 157+)

  • Python package for foreign language to Korean transliterator

GPUtil contributor (GitHub ★ 172+)

  • Python package for NVIDIA GPU status summarization