CYXNBNBNB/ad688-employability-sp25A1-group6
Feb 2025 – Apr 2025
3 Months active
Languages Used
BibTeXPythonR MarkdownMarkdownQuartoRSQL
Technical Skills
DocumentationData AnalysisData VisualizationTechnical WritingClusteringData Cleaning
Qimin-Shen
PROFILE
Qimin-shen
Over a three-month period, contributed to the CYXNBNBNB/ad688-employability-sp25A1-group6 repository by building core data analytics and platform features supporting employability research. Developed and enhanced salary analysis modules, skill gap tracking, and an analytics dashboard using Python, Pandas, and Plotly, with a focus on robust data modeling and visualization. Improved authentication, UI validation, and performance, while addressing stability and edge-case bugs. Expanded documentation and citation coverage to strengthen research reproducibility. The work enabled deeper insights into compensation trends and skill gaps, streamlined data workflows, and established a scalable foundation for future analytics and reporting within the project’s domain.
Overall Statistics
Feature vs Bugs
72%Features
Repository Contributions
124Total
Bugs
14
Commits
124
Features
36
Lines of code
3,288
Activity Months3
Your Network
51 peopleShared Repositories
2
Work History
April 2025
122 Commits • 34 Features
Apr 1, 2025April 2025: Delivered foundational core-system work and a suite of feature enhancements for CYXNBNBNB/ad688-employability-sp25A1-group6. Establishing a robust data model, strengthened authentication, UI quality improvements, and targeted performance optimizations, the month set the stage for scalable growth and faster, more reliable feature delivery. Business value was realized through improved skill-gap tracking, enhanced analytics readiness, and a more resilient core platform.
122 Commits • 34 Features
Apr 1, 2025April 2025: Delivered foundational core-system work and a suite of feature enhancements for CYXNBNBNB/ad688-employability-sp25A1-group6. Establishing a robust data model, strengthened authentication, UI quality improvements, and targeted performance optimizations, the month set the stage for scalable growth and faster, more reliable feature delivery. Business value was realized through improved skill-gap tracking, enhanced analytics readiness, and a more resilient core platform.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focusing on key accomplishments and business impact. Delivered targeted enhancements to salary analytics within the CYXNBNBNB/ad688-employability-sp25A1-group6 project to improve data-driven compensation decisions. No major bugs reported this month.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focusing on key accomplishments and business impact. Delivered targeted enhancements to salary analytics within the CYXNBNBNB/ad688-employability-sp25A1-group6 project to improve data-driven compensation decisions. No major bugs reported this month.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for CYXNBNBNB/ad688-employability-sp25A1-group6. Key activity: Bibliography Enhancement to strengthen citation coverage for the study on employability. No major bug fixes were recorded. Impact: improved literature coverage and reproducibility, supporting higher-quality publication readiness and more robust references for the project. Technologies/skills demonstrated: Git (commit-based updates), BibTeX/LaTeX references management, version-controlled documentation.
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for CYXNBNBNB/ad688-employability-sp25A1-group6. Key activity: Bibliography Enhancement to strengthen citation coverage for the study on employability. No major bug fixes were recorded. Impact: improved literature coverage and reproducibility, supporting higher-quality publication readiness and more robust references for the project. Technologies/skills demonstrated: Git (commit-based updates), BibTeX/LaTeX references management, version-controlled documentation.
February 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.8%
Architecture83.4%
Performance83.0%
AI Usage21.4%
Skills & Technologies
Programming Languages
BibTeXMarkdownPythonQuartoRR MarkdownSQL
Technical Skills
ClusteringData AnalysisData CleaningData EngineeringData VisualizationData Visualization ExplanationData Visualization InterpretationDocumentationDocumentation ManagementJupyter NotebookJupyter NotebooksK-MeansK-Means ClusteringLinear RegressionMachine Learning
Repositories Contributed To
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