Researching about the Electric Vehicle Charger Infrastructure in Korea.
Data Scientist
Government Administrator
Program Coordinator
Cookie Baker
Hello! I’m David Woo.
I have several years of experience managing a public English Language Program under the Korean Ministry of Education. I am currently studying to transition into the environment and sustainability fields, while utilizing my continuing interest and knowledge in IT.
Been tinkering with computers since I was 10. Still building systems, troubleshooting, networking...
Tinkering around with some development and data science projects. Mostly in Python.
Call me a stereotypical Canadian tree-hugger. I love mountains, forests, and rivers in particular.
A long time ago, I completed my degree in Culinary Management. I still cook and bake today.
I am working on furthering my Data Science Skills and perfecting a NYC Cookie Recipe to employ at home.
Not necessarily in that order.
Researching about the Electric Vehicle Charger Infrastructure in Korea.
Coordinator for the 'KDIS Frontiers in Data and Policy' Talk Series, Presenter for 2 seasons of the 'Watch the e-Globe' Video Series, and more.
The go-to guy for in-office IT support, data analytics, and English language-related work.
Key operating member of the 'Teach and Learn in Korea' Program.
Supported TaLK Program Operations within Gyeongsangbuk-do Province.
Concentrations: Regional Development and Environment Policy, Sustainable Development, and Data Science
Dean's List
Major: Information Systems
Summa Cum Laude
Major: Business Administration
Concentrations: General Management, Computer Information Systems
Program: Programmer Analyst
Program: Culinary Management
In recognition of maintaining Academic Excellence during the school year.
Full scholarship support for a Master's Level program (KDI School).
Awarded by the Minister of Education and Deputy Prime Minister Eun-Hye Yoo (유은혜)
Only one of two foreigners to receive this award.
December 7, 2022
Korean names are often Hanja-based and exhibit a number of other patterns. My project attempts to exploit these characteristics found in most Korean names to try and predict their genders and its respective probability.
This project received the highest ratings at KDI School's 1st Machine Learning Poster Session.
• Check out my project on HuggingFace
• Check out my project's academic poster