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dashu830

PROFILE

Dashu830

Overall Statistics

Feature vs Bugs

83%Features

Repository Contributions

20Total
Bugs
1
Commits
20
Features
5
Lines of code
11,401
Activity Months3

Work History

December 2025

2 Commits • 1 Features

Dec 1, 2025

December 2025 monthly summary for Quant_RUC: Implemented Finance Education Resources Enhancement by adding a presentation PDF for finance homework to expand educational resources and improved student support. Standardized resource naming by renaming 何宣晓presantation.pdf to presantation.pdf for clarity and consistency. Commits underpinning these changes: e96d448963d6d617568e94ae88f2b7f6625a45a8 (Add files via upload) and 360af7e9821a704eb22431dc0def34228393c195 (Rename 何宣晓presantation.pdf to presantation.pdf). Impact: expanded educational resources, improved resource discoverability, and better maintainability of assets. Bugs: no major bugs fixed this month; focus on resource quality and documentation. Technologies/skills demonstrated: Git-based asset management, descriptive commit messages, naming convention standardization, and cross-team collaboration for educational content.

October 2025

13 Commits • 2 Features

Oct 1, 2025

Month: 2025-10 — Delivered end-to-end real estate analytics capabilities and stabilized notebook hygiene to reduce maintenance risk and accelerate data-driven decision making for housing market analysis. Focused on enabling researchers and analysts to load, clean, model, and interpret housing prices and rents across blocks, with scalable data scraping and robust data handling, while tightening project organization for future work.

September 2025

5 Commits • 2 Features

Sep 1, 2025

September 2025: Delivered two major features in Quant_RUC: documentation/resources updates and an automation pipeline for generating application letters from Excel data, populating Word templates, and exporting docx/pdf. These changes improve study-resource accessibility, standardize communications, and reduce manual document creation effort. Demonstrated skills in data ingestion, templating, and end-to-end automation with a template-driven approach and robust documentation.

Activity

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Quality Metrics

Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance93.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

JSONJupyter NotebookNonePDFPythonSQL

Technical Skills

AutomationData AnalysisData CleaningData ProcessingData VisualizationDocument GenerationFile ConversionJupyter NotebookLinear RegressionMachine LearningMatplotlibPandasScikit-learnSeabornSelenium

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
3 Months active

Languages Used

Jupyter NotebookPythonJSONNoneSQLPDF

Technical Skills

AutomationData ProcessingDocument GenerationFile ConversionData AnalysisData Cleaning

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