H6WU6R/DSA3101-Group-4
Mar 2025 – Apr 2025
2 Months active
Languages Used
JSONJupyter NotebookPythonCSVMarkdown
Technical Skills
Data AnalysisData VisualizationJupyter NotebooksLogistic RegressionMachine LearningMatplotlib
wenyoudi
PROFILE
Wenyoudi
Over two months, this developer contributed to the H6WU6R/DSA3101-Group-4 repository by building a Marketing Campaign KPI Analysis Toolkit and delivering campaign impact analysis assets. They implemented end-to-end data workflows in Python, using Pandas and Scikit-learn for data loading, exploratory analysis, statistical hypothesis testing, and logistic regression modeling to quantify KPI effects on conversions. Their work included ROC-based threshold optimization and comprehensive visualizations with Matplotlib and Seaborn. They improved project maintainability through structure cleanup and deprecated notebook removal, and enhanced reproducibility by updating documentation and organizing assets, supporting data-driven marketing strategy and stakeholder reporting with clear, reproducible outputs.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
17Total
Bugs
1
Commits
17
Features
3
Lines of code
8,457
Activity Months2
Your Network
74 people
Work History
April 2025
13 Commits • 2 Features
Apr 1, 2025April 2025: Delivered visualization assets, campaign impact reports, and data assets for H6WU6R/DSA3101-Group-4. Improved asset governance and documentation to support data-driven decision-making. No major bugs recorded in scope; focus on feature delivery and knowledge transfer.
13 Commits • 2 Features
Apr 1, 2025April 2025: Delivered visualization assets, campaign impact reports, and data assets for H6WU6R/DSA3101-Group-4. Improved asset governance and documentation to support data-driven decision-making. No major bugs recorded in scope; focus on feature delivery and knowledge transfer.
April 2025
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for H6WU6R/DSA3101-Group-4: Delivered a Marketing Campaign KPI Analysis Toolkit and completed a project structure cleanup, delivering measurable business value and improved maintainability.
March 2025
4 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for H6WU6R/DSA3101-Group-4: Delivered a Marketing Campaign KPI Analysis Toolkit and completed a project structure cleanup, delivering measurable business value and improved maintainability.
Activity
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Quality Metrics
Correctness97.6%
Maintainability97.6%
Architecture97.6%
Performance97.6%
AI Usage22.4%
Skills & Technologies
Programming Languages
CSVJSONJupyter NotebookMarkdownPython
Technical Skills
Customer SegmentationData AnalysisData EngineeringData VisualizationDocumentationFile ManagementJupyter NotebooksLogistic RegressionMachine LearningMarketing AnalyticsMarketing StrategyMatplotlibNumPyPandasPython
Repositories Contributed To
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