
Developed scalable educational resources for the Insight-Sogang-Univ/insight-14th repository by expanding datasets and designing Jupyter notebook templates to support advanced course assignments in language processing. Leveraged Python and CSV to create structured data assets and standardized templates, ensuring consistent student experiences and streamlined curriculum deployment. Addressed file management challenges by reorganizing mislocated resources, which improved data integrity and maintainability across the project. Applied data analysis and version control best practices to align coursework with evolving educational needs. The work demonstrated a methodical approach to educational technology, emphasizing template standardization, data governance, and efficient onboarding for both instructors and students.
In 2025-11, delivered scalable educational resources for Insight-Sogang-Univ/insight-14th by expanding datasets and templates for the third session of the advanced course, and created a dedicated Jupyter notebook template for assignment sequencing. A file-organization cleanup fixed mislocated resources (CSV and words.txt), improving data integrity, maintainability, and project hygiene. These efforts accelerate curriculum deployment, ensure consistent student experiences, and demonstrate strong version-control discipline and templating practices across the repository.
In 2025-11, delivered scalable educational resources for Insight-Sogang-Univ/insight-14th by expanding datasets and templates for the third session of the advanced course, and created a dedicated Jupyter notebook template for assignment sequencing. A file-organization cleanup fixed mislocated resources (CSV and words.txt), improving data integrity, maintainability, and project hygiene. These efforts accelerate curriculum deployment, ensure consistent student experiences, and demonstrate strong version-control discipline and templating practices across the repository.

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