Name: Hee Young, Jung
E-mail: heeyoungmy@yonsei.ac.kr
#Python #Linux #PyTorch #NLP #CV #Optimization #Open Domain Question Answering #Relation Extraction #HuggingFace
Object Detection Competition Code
Relation Extraction Competition Code | Relation Extraction Competition Review (Korean)
Open Domain Question Answering Competition Review (Korean)
Study Log
Excelled in competitions for object detection, relation extraction, open domain question answering and optimization of models. Studied deep learning models and frameworks such as Docker and HuggingFace.
#Python #Deep Learning #CNN #C #MATLAB #Tensorflow #Linux #AWS #OpenMP #National Taiwan University #Graduate School of CS
Paper1, Paper2, Paper4, Paper5, Paper6
Deep Learning Framework Used
Improved a deep learning framework in MATLAB by applying optimized computational processes implemented in C via OpenMP. The methods for optimization include changing memory access sequence and multithreading.
- A comprehensive seminar that required the CS knowledge such as AWS, linux, data structures, and diverse programming languages of C, Matlab, and Python.
#Health Economics #Regression #Commercial API #Undergraduate Research #Python
Source Codes
Research Presentation
Analyzed the inequalities in medical accessibility by region and its implications
- Investigated 1,000 samples per each region from the database for all Korean addresses, with a total of 17 regions.
- Using a commercial navigation API, calcuated the time to get from each address to the nearest emergency medical facility.
- Analyzed the relationship between the average accessibilty time and medical service index such as the survival rate from heart attacks.
- Removed the effects of other potential variables through regression.
- Conclusion: emergency medical accessibility differs signifcantly by region, and the difference is likely affecting its fatality rate.
- A comprehensive project involving economics, statistics, data preprocessing, and programming.
#Python #Statistical ML #Deep Learning #National Taiwan University #Graduate School of Industrial Engineering
A graduate level research that developed methods to diagnose COVID-19 with CT scans of lungs infected with COVID-19
- Collaborated with graduate students to expansively apply diverse deep learning, statistical machine learning, and visualization methods to COVID-19 diagnosis
- Final project for the semester
#WEB #Python #Postgre SQL #Linux #AWS #BERT #Statistical ML
Github Link
How to Use
How to Use (Video)
Distributed a consulting service on web, which predicted the likelihood of a crowd funding project and suggested the ways to improve it using machine learning and visualization
- Used data from Kickstaters
- Adopted a NLP model and statistical machine learning models
- Worked with a clear distribution of roles as a backend engineer, a modeling engineer, and a frontend engineer
- Utilized PostgreSQL for efficient data management
#Python #Machine Learning #2nd Place
A competition to detect game bots in MMORPG AION by analyzing the game logs
- Managed 120GB of game log data
- Developed our own index for bot detection by analyzing individual logs on a daily scale
- Used the index on a statistical machine learning model, which increased the f1 score by 20 points
#Marketing #Designing #Finance #Product Sourcing
Founded a sports gear brand
- Increased business efficiency by outsourcing and automation
- Gained an insight in starting and running a company
- Sourced, designed, and marketed the product
- All products were sold through an e-commerceplatform