GAOCheryl/QF5214_2025_G8
Mar 2025 – Apr 2025
2 Months active
Languages Used
CSVJupyter NotebookPythonMarkdown
Technical Skills
Data AnalysisData CleaningData CollectionData CurationData EngineeringJupyter Notebook
Z Zhou
PROFILE
Z Zhou
Zhouzheng worked on the GAOCheryl/QF5214_2025_G8 repository, building a unified text cleaning and sentiment analysis pipeline for finance-related social media data. Over two months, Zhouzheng consolidated and refactored Jupyter Notebooks and Python scripts to centralize text preprocessing, filtering, and emotion analysis, using Pandas and regular expressions for robust data cleaning. The work included restructuring NLP components for maintainability, introducing a toolkit for evaluating multiple emotion models, and curating filtered datasets to support stock market sentiment analytics. Comprehensive documentation updates and removal of deprecated assets improved onboarding and project clarity, resulting in a maintainable, end-to-end data preparation workflow.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
4
Lines of code
48,126
Activity Months2
Your Network
9 peopleShared Repositories
9
Work History
April 2025
8 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for GAOCheryl/QF5214_2025_G8: Delivered major refactor of the core text processing stack, restructured the NLP components for clarity and maintainability, and introduced a comprehensive emotion-model evaluation toolkit. Completed documentation refresh to improve pipeline visibility and onboarding. Executed careful cleanup of deprecated assets to reduce tech debt and keep the repository focused on active components. These changes enable faster iteration, clearer data processing flows, and stronger end-to-end model evaluation capabilities.
8 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for GAOCheryl/QF5214_2025_G8: Delivered major refactor of the core text processing stack, restructured the NLP components for clarity and maintainability, and introduced a comprehensive emotion-model evaluation toolkit. Completed documentation refresh to improve pipeline visibility and onboarding. Executed careful cleanup of deprecated assets to reduce tech debt and keep the repository focused on active components. These changes enable faster iteration, clearer data processing flows, and stronger end-to-end model evaluation capabilities.
April 2025
March 2025
5 Commits • 1 Features
Mar 1, 2025March 2025 performance summary focused on delivering a consolidated text cleaning pipeline and data assets for finance-related social media analysis in GAOCheryl/QF5214_2025_G8. The work enhances data quality, repeatability, and readiness for stock market sentiment analysis by unifying notebooks, adding sample data assets, and removing outdated components.
March 2025
5 Commits • 1 Features
Mar 1, 2025March 2025 performance summary focused on delivering a consolidated text cleaning pipeline and data assets for finance-related social media analysis in GAOCheryl/QF5214_2025_G8. The work enhances data quality, repeatability, and readiness for stock market sentiment analysis by unifying notebooks, adding sample data assets, and removing outdated components.
Activity
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Quality Metrics
Correctness94.0%
Maintainability94.0%
Architecture94.0%
Performance91.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJupyter NotebookMarkdownPython
Technical Skills
Code OrganizationData AnalysisData CleaningData CollectionData CurationData EngineeringData ScienceDocumentationEmotion AnalysisFile ManagementFinancial Text AnalysisJupyter NotebookMachine LearningNatural Language ProcessingPandas
Repositories Contributed To
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