Quant-of-Renmin-University/Quant_RUC
Sep 2025 – Dec 2025
4 Months active
Languages Used
Jupyter NotebookNonePythonUnknown
Technical Skills
AutomationData AnalysisData CleaningData ProcessingData VisualizationDocument Generation
yayahao
PROFILE
Yayahao
Worked on the Quant_RUC repository over four months, focusing on building automation tools, data analysis workflows, and robust project scaffolding. Developed an automated SOP document generator using Python and Pandas, streamlining batch document creation from Excel inputs. Delivered Jupyter notebooks for real estate data analysis, incorporating web scraping, data cleaning, and visualization with Matplotlib and Seaborn to support empirical research. Established and maintained clear repository structures, including finance course material organization and midterm project setup, emphasizing repeatable scaffolding patterns and repository hygiene. Prioritized maintainability and onboarding by improving documentation, CI/test hygiene, and baseline stability to support future development cycles.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
18Total
Bugs
0
Commits
18
Features
5
Lines of code
10,064
Activity Months4
Your Network
85 peopleWork History
December 2025
Development Work
Dec 1, 2025December 2025 (Quant_RUC): No new features delivered and no bug fixes merged. The month was focused on maintenance, stability, and readiness for the upcoming development cycle. Business impact: preserved baseline stability, reduced risk, and prepared the repository for the next roadmap.
Development Work
Dec 1, 2025December 2025 (Quant_RUC): No new features delivered and no bug fixes merged. The month was focused on maintenance, stability, and readiness for the upcoming development cycle. Business impact: preserved baseline stability, reduced risk, and prepared the repository for the next roadmap.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered the initial project scaffolding for Quant_of_Renmin-University/Quant_RUC, establishing the foundation for rapid feature development and scalable maintenance. The work focused on setting up a clean repository structure and baseline files, enabling consistent onboarding and future integrations.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Delivered the initial project scaffolding for Quant_of_Renmin-University/Quant_RUC, establishing the foundation for rapid feature development and scalable maintenance. The work focused on setting up a clean repository structure and baseline files, enabling consistent onboarding and future integrations.
October 2025
12 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for Quant_RUC focusing on delivering scalable automation, data analytics capability, and course-material optimization.
12 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for Quant_RUC focusing on delivering scalable automation, data analytics capability, and course-material optimization.
October 2025
September 2025
5 Commits • 1 Features
Sep 1, 2025September 2025 (Quant_RUC): Delivered foundational scaffolding for Homework 2023201775 within the Finance module, including creation of placeholder structure under Homework/finance and integration of a binary asset HW2_2023201775.jpg. Following up with cleanup of placeholders and temporary files to reduce technical debt and prepare for implementation work. This work establishes repeatable scaffolding patterns and asset management, enabling faster follow-on development and consistent repo hygiene.
September 2025
5 Commits • 1 Features
Sep 1, 2025September 2025 (Quant_RUC): Delivered foundational scaffolding for Homework 2023201775 within the Finance module, including creation of placeholder structure under Homework/finance and integration of a binary asset HW2_2023201775.jpg. Following up with cleanup of placeholders and temporary files to reduce technical debt and prepare for implementation work. This work establishes repeatable scaffolding patterns and asset management, enabling faster follow-on development and consistent repo hygiene.
Activity
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Quality Metrics
Correctness80.0%
Maintainability78.8%
Architecture78.8%
Performance78.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookNonePythonUnknown
Technical Skills
AutomationData AnalysisData CleaningData ProcessingData VisualizationDocument GenerationJupyter NotebookMatplotlibPandasPython ScriptingSeabornSeleniumUnknownWeb Scrapingdata analysis
Repositories Contributed To
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