DataBytes-Organisation/DiscountMate_new
Sep 2025 – May 2026
2 Months active
Languages Used
CSVPythonYAML
Technical Skills
Data EngineeringDataset ManagementMachine LearningCI/CDGitHub ActionsPython
Sharon Roy
PROFILE
Sharon Roy
Worked on the DataBytes-Organisation/DiscountMate_new repository, focusing on building robust data engineering solutions to support machine learning-driven product substitution recommendations. Developed an ML-ready dataset by expanding the product catalog with detailed attributes, enabling scalable and accurate substitution models. Delivered comprehensive documentation and data artifacts to streamline onboarding and model development. Additionally, implemented an automated data scraping workflow for Woolworths, incorporating environment setup and structured error logging to ensure reliable, repeatable data ingestion. Leveraged Python, YAML, and GitHub Actions to automate processes, reduce manual effort, and establish a scalable foundation for future data sources and continuous integration workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
2
Lines of code
4,420,751
Activity Months2
Your Network
47 peopleWork History
May 2026
1 Commits • 1 Features
May 1, 2026Monthly summary for 2026-05: DataBytes-Organisation/DiscountMate_new. Delivered an automated Woolworths data scraping workflow with environment setup and error logging. No major bugs reported. Overall impact: streamlined data ingestion, reduced manual effort, and a scalable foundation for future data sources. Technologies demonstrated: Python scripting, workflow automation, environment provisioning, and robust error logging.
1 Commits • 1 Features
May 1, 2026Monthly summary for 2026-05: DataBytes-Organisation/DiscountMate_new. Delivered an automated Woolworths data scraping workflow with environment setup and error logging. No major bugs reported. Overall impact: streamlined data ingestion, reduced manual effort, and a scalable foundation for future data sources. Technologies demonstrated: Python scripting, workflow automation, environment provisioning, and robust error logging.
May 2026
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 Monthly Summary — DataBytes-Organisation/DiscountMate_new: Focused on building ML-ready data foundations to improve substitution recommendations. Completed ML-Driven Smart Substitution Dataset Expansion, including large dataset creation and supporting documentation, setting the groundwork for scalable ML models and improved user-facing substitutions.
September 2025
2 Commits • 1 Features
Sep 1, 2025September 2025 Monthly Summary — DataBytes-Organisation/DiscountMate_new: Focused on building ML-ready data foundations to improve substitution recommendations. Completed ML-Driven Smart Substitution Dataset Expansion, including large dataset creation and supporting documentation, setting the groundwork for scalable ML models and improved user-facing substitutions.
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage26.6%
Skills & Technologies
Programming Languages
CSVPythonYAML
Technical Skills
CI/CDData EngineeringDataset ManagementGitHub ActionsMachine LearningPythonautomationweb scraping
Repositories Contributed To
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