Wonho Lim
Georgia Institute of
Technology
- Bachelor of Science in Computer Science (December 2024)
- Major Concentration: Information Internetworks & Intelligence
- Georgia Tech Fall 2024 Highest Honor Graduate, Faculty Honors, Dean's List
I am a results-driven computer scientist specializing in system development, data analytics, and technology-driven solutions. With expertise in system integration, automation, and scalable architectures, I excel at optimizing processes and enhancing efficiency across diverse domains. Passionate about leveraging data and technology to solve complex challenges, I thrive in dynamic environments where innovation and cross-functional collaboration drive impactful solutions.
Systems Analyst
(Jan 2025 ~ Present)
SK On NADT
- Digital Transformation Department (MES Specialist)
Data Engineer Intern
(May 2024 ~ August 2024)
Giti Tire Manufacturing USA
- Innovation & Digitation Department
Information Technology Intern
(May 2023 ~ August 2023)
Giti Tire USA
- Sales Department
Data Science Intern
(May 2022 ~ August 2022)
Digital Transformation Group
Tutor
(March 2021~ February 2022)
Student Career Advisor
(August 2022 ~ December 2024)
Georgia Tech Career Center - Career Peer Advisor
Prediction of Korea Baseball Organization Rookie Draft Result through Deep Learning (2021)
ABSTRACT
After COVID-19 struck the world, the fourth industrial revolution, especially Artificial Intelligence, came close to our life rapidly. Artificial Intelligence based on deep learning is used in various aspects of our life: weather forecast, traffic condition prediction, etc. This research approaches sports and conducts an experiment of predicting a KBO rookie draft result using a deep learning model. Because it deals with many complicated data, baseball using data has been in the spotlight in recent years. In this paper, high school baseball records are used to see if deep learning can be used to predict the KBO rookie draft nomination. The records of each Korean high school baseball player over the past five years are used as training data, and the results of the rookie draft are used as answer data. Based on this, the new player’s nomination result is predicted. Data from the KBSA(Korea Baseball Softball Association) website is collected by using web crawling, and those data is converted into a training dataset. Finally, the MultiLayer Perceptron model is used for prediction and evaluation. In conclusion, predicting a Korean Baseball Organization rookie draft result using deep learning based on high school baseball players' data was possible, with the accuracy of roundabout 75%. Later, other various data like physical information and school information can be collected and analyzed for improvement.
Finding the Cause of the Unexpected Slump of Kante and Chelsea FC Based on Regression Analysis (2020)
ABSTRACT
N’golo Kante, Chelsea's most valuable midfielder in the 2018/2019 season, led the team to a Europa League victory. However, unexpectedly, in the 2019/2020 season, Chelsea's winning rate dropped when Kante played. This phenomenon lasted for the whole season. The goal of the research is to find the hidden causes of this unexpected phenomenon. To find the answer, statistics related to N’golo Kante and Chelsea FC were collected from various sources and analyzed using interdisciplinary methods. Automated web crawling based on Python Selenium Webdriver is used for collecting data, and machine-learning based on linear and polynomial regression models is mainly used for analysis. The analysis indicates that Kante’s changed role and teammates, injuries, and poor relationship with his manager harmed both his performance and Chelsea FC in the 2019/2020 season. To overcome their slump and keep a positive relationship with their star player, Chelsea FC needs to manage Kante in a special way so that he can function smoothly and perform to his true ability.
Georgia Tech Vertically Integrated Project: EcoCar EV Challenge
Project Manager - Project Managment Team
Undergraduate Researcher - Autorally Team
Optimization Sepcialist - Strategy & Simulation Team
Eatscape - Personalized Restaurant Recommendation Application
Full Stack Developer
Machine Learning Project:
Movie Revenue Prediction with Advanced Data Analytics and Machine Learning
President, Founder
(August 2024 ~ Present)
Team Manager
(January 2023 ~ Present)
President
(May 2023 ~ Aug 2024)
Vice President
(August 2022 ~ May 2023)
Undergraduate Computer Scientist
(August 2021 ~ December 2021)
Vice President
(May 2022 ~ December 2022)
Membership Director
(August 2021 ~ May 2022)
Undergraduate Computer Scientist
(August 2021 ~ Present)
Microsoft
Microsoft
AMAZON WEB SERVICE
AMAZON WEB SERVICE
AMAZON WEB SERVICE
Google Cloud
Wharton School
University of Pennsylvania
Wharton School
University of Pennsylvania
Wharton School
University of Pennsylvania
Wharton School
University of Pennsylvania
Wharton School
University of Pennsylvania
IBM
IBM
IBM
IBM
Thank you for contacting me.
I will get back to you as soon as possible.
+1 909 360 3474
wlim49@gatech.edu
All Rights Reserved | Wonho Lim