Quant-of-Renmin-University/Quant_RUC
Sep 2025 – Oct 2025
2 Months active
Languages Used
Jupyter NotebookMarkdownPython
Technical Skills
AutomationData AnalysisData ProcessingDocument GenerationDocumentationExcel Handling
superfu517
PROFILE
Superfu517
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
4
Lines of code
3,890
Activity Months2
Your Network
83 people
Work History
October 2025
5 Commits • 3 Features
Oct 1, 2025Month: 2025-10. This period focused on establishing project foundations for Quant_RUC, delivering automated tooling for SOP letters, and enabling data-driven real estate analytics through notebooks and modeling templates. The work improved onboarding, operational efficiency, and analytical capabilities, laying groundwork for scale and future features.
5 Commits • 3 Features
Oct 1, 2025Month: 2025-10. This period focused on establishing project foundations for Quant_RUC, delivering automated tooling for SOP letters, and enabling data-driven real estate analytics through notebooks and modeling templates. The work improved onboarding, operational efficiency, and analytical capabilities, laying groundwork for scale and future features.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Quant_RUC focusing on establishing a scalable foundation for documentation and asset management. Delivered project initialization artifacts with a README placeholder and an initial asset to support Homework/finance workflows. No code changes were required this month; groundwork will accelerate future feature work and contributor onboarding. Bugs fixed: none this period.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for Quant_RUC focusing on establishing a scalable foundation for documentation and asset management. Delivered project initialization artifacts with a README placeholder and an initial asset to support Homework/finance workflows. No code changes were required this month; groundwork will accelerate future feature work and contributor onboarding. Bugs fixed: none this period.
Activity
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Quality Metrics
Correctness92.8%
Maintainability91.4%
Architecture91.4%
Performance91.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
AutomationData AnalysisData ProcessingDocument GenerationDocumentationExcel HandlingFile ManagementJupyter NotebookMatplotlibNumPyPandasSeabornSeleniumWeb Scrapingdata analysis
Repositories Contributed To
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