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, expected to graduate in April 2025.
Master of Science in Data Science
Bachelor of Science in Business
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: (in progress) modern approaches to NLP and related deep learning techniques
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