Education
Graduated with honors from the University of Illinois at Urbana-Champaign in 2018 with a Bachelor of Business Administration, double majoring in Information Systems and International Management. Currently pursuing a Master of Science in Data Science at the University of California, Berkeley, graduating May 2025
Master of Science in Data Science
Bachelor of Science in IS/IT
Exchange Program






January 2023 - April 2025
August 2014 - May 2018
Fall 2016
Pursuing a part-time masters in data science at UC Berkeley to augment my technical skills and understanding of AI/ML. I started the program in January 2023 with an expected graduation date of April 2025
Related coursework:
Data science programming: Python, NumPy, pandas, command line, Jupyter notebooks, GitHub
Research design and applications for data & analysis: practical contributions to real decisions organizations will and should make
Statistics for data science: probability theory, statistical models, parameters, classical linear regression, causal inference
Data engineering: data pipelines, flows, AWS, Linux, Docker, Microservices, PostgreSQL, NoSQL (Neo4j), Redis, Flask, Kafka, data lakes/warehousing
Applied machine learning: linear, logistic regression, gradient descent, TensorFlow/Keras, neural network architectures
Machine learning at scale: Hadoop, MapReduce, Apache Spark, decision-tree learning, graph-processing algorithms, Databricks
Natural language processing: Modern approaches to NLP and related deep learning techniques
Generative AI: (IP) Deep dive into LLMs
Capstone: (IP) Final Thesis








Double major in Information Systems and International Management. Pursued this collection of majors because of my interest in both technology and business, rather than following the standard accounting/finance route
Related coursework:
Business core: finance, accounting, micro/macro economics, marketing
Database design and management: database design and management to support business operations, SQL, normalization, data integrity and accessibility
Decision analytics: utilize data to guide business decisions, predictive analytics, regression models
Information systems and operations management: information systems and role in operational management, integration of IT systems
Business strategy: formulation and implementation of strategies to create competitive advantages, market environment analysis, SWOT, actionable strategic plans
Management decision models: quantitative methods for solving business problems. Learned to build decision models using data, optimization techniques, decision trees
IT for networked organizations: IT infrastructure, digital networks, communication systems for enablement of business innovation
Extracurricular activities: Peer Advisor Manager, Beta Alpha Psi Honor Society, Asian American Association Academic/Alumni Chair
Study abroad program at Korea University, the top business school in South Korea. This experience provided a deeper lens into my cultural roots as a Korean-American, exposure to many different cultures of other exchange students, and was all in all an unforgettable experience. Highly recommend any college student to try and spend a semester abroad