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shudiaoh

PROFILE

Shudiaoh

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

14Total
Bugs
0
Commits
14
Features
7
Lines of code
7,243
Activity Months4

Work History

December 2025

1 Commits • 1 Features

Dec 1, 2025

December 2025 Monthly Summary for Quant_RUC (Quant-of-Renmin-University/Quant_RUC). Key feature delivered: Project scaffolding and repository initialization to establish a solid foundation for future development. The initial repository structure and essential files were added, providing a clean baseline for onboarding and accelerated future work. Major activity focused on creating a stable, reusable project skeleton rather than modifying business logic in this cycle. Commit reference highlights the baseline setup.

November 2025

1 Commits • 1 Features

Nov 1, 2025

November 2025: Delivered model validation documentation for Quant_RUC, establishing a formal validation artifact in the finance homework directory to improve governance, reproducibility, and audit readiness. No major bugs were reported this month. The work strengthens model review workflows and aligns with finance validation practices. Demonstrated solid documentation discipline and Git-based change management.

October 2025

9 Commits • 4 Features

Oct 1, 2025

October 2025 — Quant_RUC repository: Delivered four major features and improvements across documentation, automation, data engineering, and NLP. Key features delivered: 1) Documentation scaffolding and placeholders: added placeholder readme.md files across multiple projects to accelerate onboarding and future documentation efforts. 2) University Applications Automation System: automated generation of university application materials by scraping data, identifying top journals and relevant skills, and producing personalized letters in Word and PDF formats. 3) Real estate data scraping, processing, and modeling pipeline: end-to-end pipeline with parallel crawling, data cleaning, computation of price-to-rent ratios, and regression models with visualizations. 4) Sentiment Analysis Tool for Customer Feedback: implemented sentiment analysis using a pre-trained model with a notebook version that includes logging and error handling for reliability.

September 2025

3 Commits • 1 Features

Sep 1, 2025

Monthly work summary for 2025-09 focused on Quant_RUC. Key achievements: initial scaffolding for Homework/Finance module; no major bug fixes recorded this month; business impact: provides baseline for scalable feature development and onboarding; technologies demonstrated: Git-based traceability, documentation scaffolding, and asset management for clear project structure.

Activity

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Quality Metrics

Correctness94.4%
Maintainability91.4%
Architecture92.2%
Performance88.6%
AI Usage28.6%

Skills & Technologies

Programming Languages

HTMLJinja2MarkdownPythonSQLdocxwin32com

Technical Skills

BeautifulSoupConcurrencyData AnalysisData CleaningData EngineeringData PreprocessingData VisualizationDocument GenerationDocumentationDocxTemplateFile HandlingJinja2Jupyter NotebookLinear RegressionLogging

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Quant-of-Renmin-University/Quant_RUC

Sep 2025 Dec 2025
4 Months active

Languages Used

HTMLJinja2MarkdownPythonSQLdocxwin32com

Technical Skills

BeautifulSoupConcurrencyData AnalysisData CleaningData EngineeringData Preprocessing

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