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
Zhou Zheng developed and refactored a finance-focused social media text analysis pipeline in the GAOCheryl/QF5214_2025_G8 repository, delivering a unified workflow for cleaning, filtering, and preparing tweets for stock market sentiment and emotion analysis. Using Python, Pandas, and Jupyter Notebook, Zhou consolidated legacy notebooks, centralized preprocessing logic, and introduced a modular structure for maintainability. He implemented a toolkit for evaluating multiple pre-trained emotion models, streamlined data curation with filtered datasets, and refreshed documentation to clarify the NLP pipeline and model usage. The work improved reproducibility, onboarding, and end-to-end visibility, enabling scalable analytics and reducing technical debt in the project.
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 people
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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