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saehahyi

PROFILE

Saehahyi

During November 2024, Shyi developed and integrated a new genetic dataset input for the LiLabAtVT/I2GDS2024 repository to support R Studio-based analytics workflows. Shyi curated and formatted the arg_pre_abs.csv file using CSV data management techniques, structuring gene presence and absence data across isolate IDs for downstream analysis and visualization. The work emphasized reproducibility and auditability by committing the dataset addition with clear version control. By enabling immediate use of the data within R Studio, Shyi streamlined gene-level analytics pipelines. The project demonstrated proficiency in data curation, repository management, and structured data integration, though the scope was focused on a single feature.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
7
Activity Months1

Work History

November 2024

1 Commits • 1 Features

Nov 1, 2024

Monthly summary for 2024-11 focusing on key deliverables, impact, and technical accomplishments for LiLabAtVT/I2GDS2024. Key feature delivered this month: added a new genetic dataset input for R Studio analysis to streamline downstream analytics and visualizations. All changes are trackable via a single commit reference, ensuring reproducibility and auditability.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSV

Technical Skills

Data Management

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

LiLabAtVT/I2GDS2024

Nov 2024 Nov 2024
1 Month active

Languages Used

CSV

Technical Skills

Data Management