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
During a two-month period, 2023200012 developed automation and data-driven solutions within the Quant_RUC repository. They established project scaffolding and documentation to streamline onboarding and workflow development, then built an automated University Application Letters Generator that scrapes university rankings, populates Word templates, and exports PDFs using Python, Pandas, and Selenium. Additionally, they initiated a real estate data pipeline for Shanghai, implementing web scraping, data cleaning, and linear regression modeling to predict property prices and yields. Their work emphasized maintainable, template-driven processes and reproducible data analysis, demonstrating depth in automation, document generation, and machine learning within education and real estate domains.
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
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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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