You can download the latest version of my curriculum vitae using the link below.
Sep 2024 – Current (Expected Graduation: Feb 2027)
Advisor: Dr. Jaewook Lee
Sep 2021 – Aug 2023
Thesis: Enhancing non-linear asset volatility forecasting models with investor sentiment and explainable AI
Advisor: Dr. Jaewook Lee
Mar 2015 – Aug 2021
Thesis: Quantitative Analysis of Influence of Corporate Announcements on Cryptocurrency Markets
Graduated with Honors (Cum Laude)
Exchange Program: Nanyang Technological University (NTU), Singapore - Spring 2020
Field of study: Data Science and Artificial Intelligence (College of Computing and Data Science & School of Physical and Mathematical Sciences)
Saccade Capital Limited (Full-time) – Seoul, South Korea
Sep 2023 – May 2024
Worked as part of the data management team, building robust data pipelines, preprocessing frameworks, and a scalable data warehouse for multi-market trading strategies in Asia.
WorldQuant (Part-time) – Seoul, South Korea
Feb 2023 – Sep 2023
Conducted alpha strategy research using WorldQuant’s BRAIN platform, applying statistical and machine learning methods to global market data.
Fast Retailing (Internship) – Tokyo, Japan
Jul 2019 – Aug 2019
Engaged in cross-cultural business training and strategic case projects as part of Fast Retailing’s Global Management Program in Tokyo.
Hyundai Motor Company (Internship) – Hwaseong, South Korea
Jul 2019 – Jul 2019
Conducted research on a machine learning–based algorithm for predicting engine oil life using real-time sensor data from in-vehicle systems.
Awarded by BK21 Phase 4 Graduate Innovation Program, Seoul National University (2025)
Awarded by Seoul National University (2022, 2023, 2025)
Awarded by College of Engineering, Seoul National University (2019, 2020)
Prof. Jaekwook Lee, Seoul National University
[406.327] Mathematical Methods for Industrial and Management Engineering (2021)
SNU–Korea Banking Institute: Advanced Program for AI-Based Data Science Experts (2025)
Introduction to Data Science, Machine Learning, and AI; Deep Learning and Data Analytics
SNU Advanced Expert Program in Big Data, FinTech, and AI
Algorithmic Trading and Robo-Advisors (2022)
Machine Learning; Deep Learning (2023, 2025)
Capstone Projects:
Analyst Report-Based RAG System (with LIFE Asset Management) (2025)
Vertical Federated Learning for Credit Rating Models (with HonestFund) (2022)
HD Hyundai AI Course (2024)
Nonlinear Time Series Data Analysis
Wooribank Digital MBA Program (2022)
Data Visualization; Time Series Analysis; Natural Language Processing; AI and Data Science in Finance
Samsung Electronics Data Science Course (2022, 2025)
Linear Algebra; Optimization
Finance Research Letters
Compuational Economics
Economics and Business Letters
Python, R, C++, Java , SQL, VBA, Bash
LaTeX, Git, Linux, Bloomberg Terminal
Financial Modeling, Time Series Analysis, Machine Learning & Deep Learning, Data Visualization, Web Scraping
Korean (Native), English (Business Proficient)