DataBytes-Organisation/DiscountMate_new
Apr 2025 – May 2025
2 Months active
Languages Used
CSVPythonSQL
Technical Skills
Data AnalysisData CleaningData EntryData ManagementData VisualizationData Wrangling
EugeneKoh0125
PROFILE
Eugenekoh0125
Eugene Ouyi Koh developed analytics and onboarding resources for the DataBytes-Organisation/DiscountMate_new repository over a two-month period. He delivered a Power BI report for Woolworths price comparisons, enabling analysts to generate rapid pricing insights without code changes and supporting business decision-making with minimal deployment risk. Eugene also created a Jupyter notebook for exploratory data analysis on synthetic sales data, visualizing category-level sales trends using Pandas and Matplotlib. Additionally, he organized tutorial materials and datasets to streamline onboarding and documentation. His work emphasized repository structure, data management, and reproducible analysis, providing a foundation for scalable analytics and efficient team collaboration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
244,861
Activity Months2
Your Network
41 people
Work History
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for DataBytes-Organisation/DiscountMate_new. Focused on delivering data analysis features and comprehensive tutorial materials, with emphasis on business value, onboarding readiness, and stable documentation. No critical bugs reported this period; feature work laid groundwork for scalable analytics and self-serve learning resources.
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for DataBytes-Organisation/DiscountMate_new. Focused on delivering data analysis features and comprehensive tutorial materials, with emphasis on business value, onboarding readiness, and stable documentation. No critical bugs reported this period; feature work laid groundwork for scalable analytics and self-serve learning resources.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered a new analytics artifact for Woolies price comparisons in DataBytes-Organisation/DiscountMate_new, enabling rapid price insights without onboarding code changes. Key deliverable: Woolies Price Comparison Power BI Report (woolies price comparison tues wed sun.pbix) added to the Data Analysis directory. This artifact supports pricing strategy discussions and competitive benchmarking with minimal deployment risk. Overall impact: Empowers analysts to perform price comparisons quickly, speeds pricing decisions, and demonstrates end-to-end analytics delivery from repo to business value with low operational risk. Technologies/skills demonstrated: Power BI reporting and data visualization, repository-based artifact delivery, version control (commits) and data analysis workflows.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered a new analytics artifact for Woolies price comparisons in DataBytes-Organisation/DiscountMate_new, enabling rapid price insights without onboarding code changes. Key deliverable: Woolies Price Comparison Power BI Report (woolies price comparison tues wed sun.pbix) added to the Data Analysis directory. This artifact supports pricing strategy discussions and competitive benchmarking with minimal deployment risk. Overall impact: Empowers analysts to perform price comparisons quickly, speeds pricing decisions, and demonstrates end-to-end analytics delivery from repo to business value with low operational risk. Technologies/skills demonstrated: Power BI reporting and data visualization, repository-based artifact delivery, version control (commits) and data analysis workflows.
Activity
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Quality Metrics
Correctness84.0%
Maintainability84.0%
Architecture84.0%
Performance80.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
CSVPythonSQL
Technical Skills
Data AnalysisData CleaningData EntryData ManagementData VisualizationData WranglingJupyter NotebookJupyter NotebooksMatplotlibPandasdata analysisdata visualization
Repositories Contributed To
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