DataBytes-Organisation/DiscountMate_new
Dec 2024 – Dec 2024
1 Month active
Languages Used
CSVINIJupyter NotebookPython
Technical Skills
BeautifulSoupConfiguration ManagementData EngineeringData EntryData ManagementMongoDB
c1h2e3n
PROFILE
C1h2e3n
Developed an end-to-end IGA Groceries scraper and catalog expansion for the DataBytes-Organisation/DiscountMate_new repository, enabling automated data collection and export to CSV while integrating MongoDB for scalable storage. Leveraged Python, BeautifulSoup, and Selenium to extract and manage grocery product data, expanding the catalog dataset to support analytics and dynamic pricing workflows. Enhanced repository organization by adding onboarding and maintainability assets, streamlining future collaboration. The work established a foundation for automated data ingestion, reducing manual curation and accelerating time-to-insight. All development was tracked across four commits, demonstrating a focused approach to feature delivery and repository structure within a one-month period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
12,769
Activity Months1
Your Network
47 peopleWork History
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for DataBytes-Organisation/DiscountMate_new: Key feature delivered was the IGA Groceries Scraper and Catalog Expansion, enabling end-to-end data collection for IGA groceries with a CSV export, expanded product catalog, and MongoDB storage integration. Repository organization assets were added to improve onboarding and long-term maintainability. This work lays the foundation for automated data ingestion into analytics and dynamic pricing workflows, reducing manual data curation and speeding time-to-insight.
4 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for DataBytes-Organisation/DiscountMate_new: Key feature delivered was the IGA Groceries Scraper and Catalog Expansion, enabling end-to-end data collection for IGA groceries with a CSV export, expanded product catalog, and MongoDB storage integration. Repository organization assets were added to improve onboarding and long-term maintainability. This work lays the foundation for automated data ingestion into analytics and dynamic pricing workflows, reducing manual data curation and speeding time-to-insight.
December 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture70.0%
Performance65.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVINIJupyter NotebookPython
Technical Skills
BeautifulSoupConfiguration ManagementData EngineeringData EntryData ManagementMongoDBPandasPythonSeleniumWeb Scraping
Repositories Contributed To
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