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Hello, 

My passion for data started while studying Hospitality Management, where I discovered the power of data through managing a student-run café. Motivated by this, I pursued a double major in Science Information Convergence, specializing in data analysis and machine learning. I also gained hands-on experience through a fintech internship, applying data-driven approaches to real-world problems. To further strengthen my expertise, I am currently pursuing a Master of Applied Data Science at the University of Southern California, graduating in May 2027. I am eager to apply my skills to tackle complex data challenges and contribute impactful insights across industries.

Education

2025.08-2027.05 (expected)

○ University of Southern California
• Master of Applied Data Science

2020.03-2025.02 

○ Kyunghee University
• Bachelor of Business Administration
• Bachelor of Science Information Convergence

2023.01-2023.05

○ California State University, Sacramento
• Exchange Student
 (Major: Business Administration)

KaKaoPay - Data Governance Intern

Work Experience

2025.04-2025.08

• Standardized ~40,000 database terms into 5,236 official standards, applying Python and SQL and custom Excel
Apps Script functions to achieve over 2x faster processing and greater data consistency
• Designed standard domains and unified ~7,500 column names within organization
• Prepared standardized datasets for training an internal LLM service to enable non-technical teams to perform future
natural language data queries
• Ensured consistent definition, storage, and usage of data elements, reducing ambiguity in service development and maintenance

 

Scholarship

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  • Superiority Scholarship(GPA: 4.0 or higher on a 4.3 scale; awarded by the Head of the Department) 

  • Mosaic Scholarship(First-class proficiency in information processing; awarded by Kyunhee University)

Seleced Coursework

01.

Calculus I
Calculus II

02.

Linear Algebra I
Linear Algebra II

03.

Probability
Business Statistics

Fundamental Mathematics for AI

Applied Mathematics

04.

Machine Learning
Deep Learning

05.

Python Programming
R Programming
C Programming

Leia KIM

Programming Languages
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