pennlabs/penn-courses
Nov 2024 – Nov 2024
1 Month active
Languages Used
PythonTypeScript
Technical Skills
API DevelopmentBackend DevelopmentCode FormattingCron JobsDevOpsDjango
Shiva Menta
PROFILE
Shiva Menta
Worked on the pennlabs/penn-courses repository to enhance the reliability and efficiency of course data workflows. Addressed data fetch issues by updating the web scraper’s CSS selector to adapt to a new website format, ensuring accurate building location retrieval. Introduced an hourly cron job for course status synchronization and refined Slack notifications to improve operational visibility. Optimized backend performance by removing redundant data prefetching, reducing unnecessary requests when location data is included. Applied code formatting improvements for maintainability. Leveraged Python, Django, and web scraping techniques throughout, focusing on backend development and DevOps practices to deliver more accurate and maintainable systems.
Overall Statistics
Feature vs Bugs
25%Features
Repository Contributions
6Total
Bugs
3
Commits
6
Features
1
Lines of code
13
Activity Months1
Your Network
12 peopleShared Repositories
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aking526Member
Clayton HickeyMember
Daniel LiMember
Jihun (James) DohMember
James DohMember
Daniel ZhaoMember
Christopher LiuMember
luke-rtMember
Anthony LiMember
Work History
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024 (pennlabs/penn-courses): Focused on reliability, efficiency, and maintainability of course data workflows. Delivered important feature enhancements, resolved data fetch issues, and improved developer experience. Business value was enhanced through more accurate course statuses and location data, reduced redundant data requests, and clearer operational visibility.
6 Commits • 1 Features
Nov 1, 2024November 2024 (pennlabs/penn-courses): Focused on reliability, efficiency, and maintainability of course data workflows. Delivered important feature enhancements, resolved data fetch issues, and improved developer experience. Business value was enhanced through more accurate course statuses and location data, reduced redundant data requests, and clearer operational visibility.
November 2024
Activity
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Quality Metrics
Correctness86.6%
Maintainability93.4%
Architecture90.0%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTypeScript
Technical Skills
API DevelopmentBackend DevelopmentCode FormattingCron JobsDevOpsDjangoWeb Scraping
Repositories Contributed To
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