DataBytes-Organisation/DiscountMate_new
Dec 2024 – Dec 2024
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data CleaningData GenerationData MergingData TransformationData VisualizationDocumentation
liam-edmunds
PROFILE
Liam-edmunds
Liam Edmunds developed three core features for the DiscountMate_new repository, focusing on data-driven pricing and recommender system readiness. He implemented a Random Forest regression model in Python using Pandas and Scikit-learn to predict prices from Woolworths data, applying data cleaning, merging, and advanced feature transformations such as log normalization and Yeo-Johnson. To support recommender system research, he built a synthetic transaction data generator leveraging the Faker library and NumPy, enabling robust model training and analysis. Additionally, Liam expanded project documentation with onboarding materials and market research, demonstrating depth in both technical engineering and knowledge transfer within the team.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
1,398
Activity Months1
Your Network
41 people
Work History
December 2024
4 Commits • 3 Features
Dec 1, 2024Monthly work summary for 2024-12 for DataBytes-Organisation/DiscountMate_new. Focused on delivering data-driven pricing, recommender-system readiness, and onboarding/documentation improvements. No major bug fixes documented this month.
4 Commits • 3 Features
Dec 1, 2024Monthly work summary for 2024-12 for DataBytes-Organisation/DiscountMate_new. Focused on delivering data-driven pricing, recommender-system readiness, and onboarding/documentation improvements. No major bug fixes documented this month.
December 2024
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data CleaningData GenerationData MergingData TransformationData VisualizationDocumentationFaker LibraryMachine LearningMatplotlibNumPyPandasRandom Forest RegressionRecommender SystemsResearchScikit-learn
Repositories Contributed To
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