DataBytes-Organisation/DiscountMate_new
Dec 2024 – May 2025
2 Months active
Languages Used
PythonJSONJupyter Notebook
Technical Skills
CSV ProcessingData AnalysisFuzzy MatchingFuzzy String MatchingPandasWeb Scraping
Ranudi1012
PROFILE
Ranudi1012
During their two-month tenure, Snranudi1012 developed and enhanced data analytics features for the DataBytes-Organisation/DiscountMate_new repository. They built a Cheaper Product Finder that uses fuzzy string matching to compare Coles and Woolworths CSV data, enabling users to identify the lowest prices and export results for further analysis. Leveraging Python, Pandas, and Jupyter Notebooks, they also introduced a suite of analytics notebooks for product sales and brand analysis, integrated Power BI and Looker connectivity, and improved data pipeline reliability. Their work focused on scalable, reproducible data workflows, with careful attention to maintainability and the transition to modern analytics tools.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
5
Lines of code
6,073
Activity Months2
Your Network
41 people
Work History
May 2025
9 Commits • 4 Features
May 1, 2025Month: 2025-05 | DataBytes-Organisation/DiscountMate_new: Delivered analytics capabilities and BI readiness, while phasing out legacy tools to support a modern analytics approach. The work enhances product insights, cross-store pricing analytics, and executive BI readiness, driving faster, data-driven decision-making for merchandising and pricing strategy.
9 Commits • 4 Features
May 1, 2025Month: 2025-05 | DataBytes-Organisation/DiscountMate_new: Delivered analytics capabilities and BI readiness, while phasing out legacy tools to support a modern analytics approach. The work enhances product insights, cross-store pricing analytics, and executive BI readiness, driving faster, data-driven decision-making for merchandising and pricing strategy.
May 2025
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for DataBytes-Organisation/DiscountMate_new. Key feature delivered: Cheaper Product Finder that fuzzy-matches Coles vs Woolworths CSV data, accepts user input, and exports results to CSV. Supporting work includes an initial data-processing script and file-name standardization. No major bugs were reported; minor refactors addressed naming inconsistencies to improve maintainability.
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for DataBytes-Organisation/DiscountMate_new. Key feature delivered: Cheaper Product Finder that fuzzy-matches Coles vs Woolworths CSV data, accepts user input, and exports results to CSV. Supporting work includes an initial data-processing script and file-name standardization. No major bugs were reported; minor refactors addressed naming inconsistencies to improve maintainability.
Activity
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Quality Metrics
Correctness81.6%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
CSV ProcessingData AnalysisData ManipulationData VisualizationData WranglingFile HandlingFuzzy MatchingFuzzy String MatchingFuzzyWuzzyJupyter NotebookJupyter NotebooksMatplotlibPandasPythonPython Scripting
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