Quant-of-Renmin-University/Quant_RUC
Sep 2025 – Oct 2025
2 Months active
Languages Used
Jupyter NotebookMarkdownNonePythonUnknown
Technical Skills
AutomationBeautifulSoupData AnalysisData CleaningData ExtractionData Processing
Peng-yincan
PROFILE
Peng-yincan
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
4
Lines of code
6,608
Activity Months2
Your Network
109 people
Work History
October 2025
15 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for Quant_RUC: - Delivered foundational scaffolding and documentation for the HW_School_Application project, establishing project structure, templates, and README/docs to support school workflow development and onboarding. - Implemented an automated University Application Letters Generator that scrapes rankings, populates Word templates, and exports to PDF, enabling rapid, consistent admissions communications. - Initiated Shanghai real estate data pipeline: Python scripts for scraping rental and sale data in Xuhui and Kangjian districts, with data cleaning and modeling to predict prices and yields. - These efforts establish scalable, template-driven workflows and data-driven insights across education and real estate domains, delivering measurable business value such as faster document generation, standardized processes, and actionable market predictions.
15 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for Quant_RUC: - Delivered foundational scaffolding and documentation for the HW_School_Application project, establishing project structure, templates, and README/docs to support school workflow development and onboarding. - Implemented an automated University Application Letters Generator that scrapes rankings, populates Word templates, and exports to PDF, enabling rapid, consistent admissions communications. - Initiated Shanghai real estate data pipeline: Python scripts for scraping rental and sale data in Xuhui and Kangjian districts, with data cleaning and modeling to predict prices and yields. - These efforts establish scalable, template-driven workflows and data-driven insights across education and real estate domains, delivering measurable business value such as faster document generation, standardized processes, and actionable market predictions.
October 2025
September 2025
2 Commits • 1 Features
Sep 1, 2025For 2025-09, the Quant_RUC repository work centered on scaffolding assets for Homework/finance/2023200012. Implemented a placeholder README and uploaded an image to establish initial resources and a clear structure for future asset integration. No functional changes were introduced this month.
September 2025
2 Commits • 1 Features
Sep 1, 2025For 2025-09, the Quant_RUC repository work centered on scaffolding assets for Homework/finance/2023200012. Implemented a placeholder README and uploaded an image to establish initial resources and a clear structure for future asset integration. No functional changes were introduced this month.
Activity
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Quality Metrics
Correctness92.4%
Maintainability91.8%
Architecture91.8%
Performance91.8%
AI Usage28.2%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownNonePythonUnknown
Technical Skills
AutomationBeautifulSoupData AnalysisData CleaningData ExtractionData ProcessingDocument AutomationDocument GenerationDocxTemplateLinear RegressionMachine LearningPandasPython ScriptingSeleniumUnknown
Repositories Contributed To
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