H6WU6R/DSA3101-Group-4
Mar 2025 – Apr 2025
2 Months active
Languages Used
PythonCSVMarkdown
Technical Skills
Data AnalysisData PreprocessingData ProcessingData VisualizationExploratory Data AnalysisFeature Engineering
hanmei-lee
PROFILE
Hanmei-lee
Developed a unified Campaign Performance Analysis and Customer Segmentation Platform in the H6WU6R/DSA3101-Group-4 repository, delivering an end-to-end analytics pipeline for digital marketing data. The work integrated data loading, preprocessing, feature engineering, and PCA-based clustering to support segmentation and campaign insights, using Python, Pandas, and Scikit-learn. Enhanced the platform with modular architecture for exploratory data analysis, metrics calculation, and visualization, and introduced a bank revenue data asset with MMM-based analysis for budgeting optimization. Codebase cleanup and documentation updates improved maintainability, while robust data pipelines and reporting enabled data-driven marketing optimization and more effective campaign decision-making.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
4
Lines of code
8,343
Activity Months2
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Work History
April 2025
11 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for H6WU6R/DSA3101-Group-4: Delivered a set of high-impact analytics capabilities and foundational data assets, alongside targeted codebase cleanup to improve maintainability and clarity of responsibilities. Business value focused on enabling data-driven marketing optimization and better budgeting decisions through robust data pipelines and MMM-style analysis.
11 Commits • 3 Features
Apr 1, 2025April 2025 monthly summary for H6WU6R/DSA3101-Group-4: Delivered a set of high-impact analytics capabilities and foundational data assets, alongside targeted codebase cleanup to improve maintainability and clarity of responsibilities. Business value focused on enabling data-driven marketing optimization and better budgeting decisions through robust data pipelines and MMM-style analysis.
April 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements. Delivered a unified Campaign Performance Analysis and Customer Segmentation Platform in H6WU6R/DSA3101-Group-4. Implemented an end-to-end analytics pipeline including data loading, preprocessing, feature engineering, PCA-based clustering, metrics calculation, and visualization to support customer segmentation and campaign performance insights. Integrated the main analysis script with modular components for data processing, EDA, feature engineering, and visualization. Key commits captured core functionality: cc6013983f5045cb6dd279c93c0fb68cfd29c9ae (Create main.py) and d127ff6d2b897067b74bbecae2dab697c804175a (Add files via upload). This work establishes an extensible architecture for marketing analytics, enabling faster insights, repeatable workflows, and data-driven decision making.
March 2025
2 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03 focusing on business value and technical achievements. Delivered a unified Campaign Performance Analysis and Customer Segmentation Platform in H6WU6R/DSA3101-Group-4. Implemented an end-to-end analytics pipeline including data loading, preprocessing, feature engineering, PCA-based clustering, metrics calculation, and visualization to support customer segmentation and campaign performance insights. Integrated the main analysis script with modular components for data processing, EDA, feature engineering, and visualization. Key commits captured core functionality: cc6013983f5045cb6dd279c93c0fb68cfd29c9ae (Create main.py) and d127ff6d2b897067b74bbecae2dab697c804175a (Add files via upload). This work establishes an extensible architecture for marketing analytics, enabling faster insights, repeatable workflows, and data-driven decision making.
Activity
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Quality Metrics
Correctness90.8%
Maintainability90.8%
Architecture90.8%
Performance87.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVMarkdownPython
Technical Skills
ClusteringData AnalysisData EngineeringData PreprocessingData ProcessingData ScienceData VisualizationDimensionality ReductionDocumentationEconomic ModelingExploratory Data AnalysisExploratory Data Analysis (EDA)Feature EngineeringJupyter NotebooksMachine Learning
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