haelim choi

Designed and implemented ETL pipelines for processing large datasets using Apache Airflow & DBT Built data models and optimized queries for Redshift and Snowflake-based data warehouses Developed API-based data integration solutions for real-time processing Gained foundational knowledge in distributed data systems

Refactored and completed an existing codebase for a Java based code error detection program, improving maintainability and performance. Designed a lexeme-based source code analysis tool to enhance debugging efficiency and ensure future extensibility. Built and maintained internal databases for client management systems Developed ETL processes for data synchronization across multiple systems Optimized SQL queries and database structures to improve performance

Developed and maintained technical documentation and project roadmaps Communicated schedules to clients and tracked progress using Agile and collaborative workflows Recommended and implemented process optimizations based on user feedback Enhanced and maintained internal software using C#, .NET, and MySQL

Coursework: Data Analytics & Engineering Studied the fundamentals of deep learning and machine learning Learned parallel programming, distributed systems, and Linux system programming Gained experience in data analysis and classification using R Acquired mathematical foundations, including linear algebra, probability, and regression analysis

Final GPA: 4.15/4.5 Thesis: Spam Mail Filtering Program using WEKA Studied programming languages in C++, Java, C, and Python Studied object-oriented programming, operating systems, and algorithms Gained a strong mathematical foundation in linear algebra, probability, and regression analysis