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
Over a two-month period, contributed to the Quant_RUC repository by establishing project scaffolding, documentation, and automated workflows across education and real estate domains. Developed a University Application Letters Generator that scrapes university rankings, populates Word templates, and exports documents to PDF, streamlining admissions communications. Initiated a data pipeline for Shanghai real estate, using Python scripting, BeautifulSoup, and Pandas to scrape, clean, and model rental and sale data for price and yield predictions. Maintained clear version control and documentation, enabling scalable onboarding and maintainability. The work emphasized automation, data processing, and template-driven document generation to support standardized, efficient processes.
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
112 peopleWork 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
Loading activity data...
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
Overview of all repositories you've contributed to across your timeline