Quant-of-Renmin-University/Quant_RUC
Oct 2025 – Dec 2025
2 Months active
Languages Used
Jupyter NotebookMarkdownPython
Technical Skills
Code ReviewData AnalysisData ManipulationDocumentationPandasPython
JiaYi-Sit
PROFILE
Jiayi-sit
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
3
Lines of code
413
Activity Months2
Your Network
83 people
Work History
December 2025
1 Commits • 1 Features
Dec 1, 2025Concise monthly summary for December 2025 focusing on Quant_RUC repository activities. The month centered on documentation and process standardization for end-of-term logistics. No major bugs fixed were reported this month; efforts were directed at delivering clear, auditable docs to support English class final exam pre-orders and related processes. The work enhances readiness, traceability, and collaboration across the exam coordination workflow.
1 Commits • 1 Features
Dec 1, 2025Concise monthly summary for December 2025 focusing on Quant_RUC repository activities. The month centered on documentation and process standardization for end-of-term logistics. No major bugs fixed were reported this month; efforts were directed at delivering clear, auditable docs to support English class final exam pre-orders and related processes. The work enhances readiness, traceability, and collaboration across the exam coordination workflow.
December 2025
October 2025
11 Commits • 2 Features
Oct 1, 2025October 2025: Quant_RUC delivered two major capabilities: (1) a notebook-based Grouping Results Update that reads updated CSV inputs, cleans class names, and refreshes the results display for faster, more reliable analysis; (2) a Homework Feedback, Documentation and Scoring Materials initiative that established templates, guidance, group-folder docs, and a scoring Excel workbook to standardize and accelerate grading. These efforts improve data integrity, reduce manual touchpoints, and provide a scalable framework for future analyses and coursework assessments.
October 2025
11 Commits • 2 Features
Oct 1, 2025October 2025: Quant_RUC delivered two major capabilities: (1) a notebook-based Grouping Results Update that reads updated CSV inputs, cleans class names, and refreshes the results display for faster, more reliable analysis; (2) a Homework Feedback, Documentation and Scoring Materials initiative that established templates, guidance, group-folder docs, and a scoring Excel workbook to standardize and accelerate grading. These efforts improve data integrity, reduce manual touchpoints, and provide a scalable framework for future analyses and coursework assessments.
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture88.2%
Performance88.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
Code ReviewData AnalysisData ManipulationDocumentationPandasPythondata organizationdocumentationproject management
Repositories Contributed To
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