Quant-of-Renmin-University/Quant_RUC
Sep 2025 – Oct 2025
2 Months active
Languages Used
MarkdownPythonSQL
Technical Skills
DocumentationAutomationData AnalysisData CleaningData ProcessingDocument Generation
jinshuo_666
PROFILE
Jinshuo_666
Worked on the Quant_RUC repository over two months, delivering four features focused on automation, data analysis, and repository structure. Established a robust project scaffolding to streamline onboarding and future development, emphasizing disciplined Git workflows and documentation practices. Developed a Python-based data pipeline that scraped real estate data across Beijing districts, applied IQR-based data cleaning, and built regression models using Pandas and Statsmodels to analyze market trends. Automated the generation of university application documents from Excel data, producing Word and PDF outputs. Prioritized maintainability and scalability by cleaning up placeholders and ensuring a clean, organized repository structure without major bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
16Total
Bugs
0
Commits
16
Features
4
Lines of code
2,950
Activity Months2
Your Network
85 peopleWork History
October 2025
9 Commits • 3 Features
Oct 1, 2025October 2025: delivered three key features on Quant_RUC that improve onboarding, automation, and data-driven insights. No major bugs fixed this month; minor maintenance addressed to ensure reliability and maintainability of the repo and pipelines. Business value delivered includes faster application document production, cleaner repository structure for scalability, and actionable market insights from the data pipeline. Technologies demonstrated include Python-based data pipelines, web scraping, IQR-based data cleaning, regression modeling, and template-driven Word/PDF generation.
9 Commits • 3 Features
Oct 1, 2025October 2025: delivered three key features on Quant_RUC that improve onboarding, automation, and data-driven insights. No major bugs fixed this month; minor maintenance addressed to ensure reliability and maintainability of the repo and pipelines. Business value delivered includes faster application document production, cleaner repository structure for scalability, and actionable market insights from the data pipeline. Technologies demonstrated include Python-based data pipelines, web scraping, IQR-based data cleaning, regression modeling, and template-driven Word/PDF generation.
October 2025
September 2025
7 Commits • 1 Features
Sep 1, 2025September 2025 — Quant_RUC: Delivered foundational scaffolding for Finance Homework 2023-200107, establishing a structured project layout and placeholder assets, followed by cleanup to remove placeholders not intended for long-term use. No major bugs fixed this month; focus was on groundwork and repository hygiene to enable faster future delivery. Impact: establishes a solid baseline for finance homework work, reduces onboarding time, and enables more predictable, rapid feature delivery in the next cycle. Technologies/skills demonstrated: Git-centric development workflow, project scaffolding, and documentation practices.
September 2025
7 Commits • 1 Features
Sep 1, 2025September 2025 — Quant_RUC: Delivered foundational scaffolding for Finance Homework 2023-200107, establishing a structured project layout and placeholder assets, followed by cleanup to remove placeholders not intended for long-term use. No major bugs fixed this month; focus was on groundwork and repository hygiene to enable faster future delivery. Impact: establishes a solid baseline for finance homework work, reduces onboarding time, and enables more predictable, rapid feature delivery in the next cycle. Technologies/skills demonstrated: Git-centric development workflow, project scaffolding, and documentation practices.
Activity
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Quality Metrics
Correctness91.2%
Maintainability91.2%
Architecture91.2%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPythonSQL
Technical Skills
AutomationData AnalysisData CleaningData ProcessingDocument GenerationDocumentationFile ManagementLinear RegressionMatplotlibPandasSeleniumStatistical ModelingStatsmodelsWeb Scraping
Repositories Contributed To
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