DataBytes-Organisation/DiscountMate_new
Nov 2024 – Dec 2024
2 Months active
Languages Used
MarkdownPython
Technical Skills
BeautifulSoupData ClassificationData EngineeringData ExtractionDatabase ManagementMongoDB
Prerna
PROFILE
Prerna
Prerna Shahi developed data engineering and documentation solutions for the DiscountMate_new repository over a two-month period. She built a Python-based web scraping and item classification tool using BeautifulSoup and Pandas, enabling automated extraction, parsing, and categorization of retail data, which was then exported to CSV for analysis. Prerna also implemented a data pipeline that captured and cleaned Aldi price reduction data, storing results in MongoDB Atlas to support scalable analytics. In addition, she overhauled project documentation in Markdown, organizing onboarding materials and technical guides to improve maintainability and contributor onboarding. Her work emphasized automation, data quality, and clear documentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
965
Activity Months2
Your Network
41 people
Work History
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024 Summary for DataBytes-Organisation/DiscountMate_new: Focused on improving onboarding and maintainability through a comprehensive documentation overhaul. Delivered project-wide organization of DiscountMate docs, added a dedicated Web Development docs folder, and published a login/setup guide. This work establishes a scalable documentation foundation to accelerate feature delivery and reduce support dependency. No major bugs were fixed this month; emphasis was on clear, accessible documentation to enable faster onboarding and consistent contributions.
4 Commits • 1 Features
Dec 1, 2024December 2024 Summary for DataBytes-Organisation/DiscountMate_new: Focused on improving onboarding and maintainability through a comprehensive documentation overhaul. Delivered project-wide organization of DiscountMate docs, added a dedicated Web Development docs folder, and published a login/setup guide. This work establishes a scalable documentation foundation to accelerate feature delivery and reduce support dependency. No major bugs were fixed this month; emphasis was on clear, accessible documentation to enable faster onboarding and consistent contributions.
December 2024
November 2024
6 Commits • 3 Features
Nov 1, 2024November 2024: Delivered three major capabilities for DiscountMate_new, focused on automated data capture, processing, and documentation. Implemented a Python-based Web Scraping and Item Classification Tool, an Aldi Price Reductions Data Pipeline with MongoDB Atlas storage and a CSV dataset, and substantial MongoDB Atlas documentation improvements. No critical bugs reported; minor maintenance included cleanup of temporary files and formatting improvements. This work enhances data availability, quality, and scalability, enabling faster pricing analytics and clearer developer guidance.
November 2024
6 Commits • 3 Features
Nov 1, 2024November 2024: Delivered three major capabilities for DiscountMate_new, focused on automated data capture, processing, and documentation. Implemented a Python-based Web Scraping and Item Classification Tool, an Aldi Price Reductions Data Pipeline with MongoDB Atlas storage and a CSV dataset, and substantial MongoDB Atlas documentation improvements. No critical bugs reported; minor maintenance included cleanup of temporary files and formatting improvements. This work enhances data availability, quality, and scalability, enabling faster pricing analytics and clearer developer guidance.
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
BeautifulSoupData ClassificationData EngineeringData ExtractionDatabase ManagementDocumentation ManagementMongoDBPandasPythonRegular ExpressionsWeb Scrapingdatabase managementdocumentation
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