PranayN23/NFLResourceAnalysis
Apr 2025 – Apr 2025
1 Month active
Languages Used
CSSJSXJavaScriptPython
Technical Skills
API DevelopmentBackend DevelopmentDatabase IntegrationFlaskFrontend DevelopmentMongoDB
hfu314
PROFILE
Hfu314
Developed an end-to-end Player Data Page for the PranayN23/NFLResourceAnalysis repository, delivering a feature-rich interface for dynamic player analytics. The work integrated a Flask backend with MongoDB to provide REST API endpoints, enabling real-time data retrieval by player name, position, team, or year. On the frontend, React and Recharts were used to create an interactive UI that displays position-specific statistics and visualizes PFF score progression against league and team averages. This feature supports faster scouting decisions and deeper player insights, establishing a robust foundation for future data-driven enhancements. The implementation focused on seamless backend-frontend integration and maintainable code structure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
3,157
Activity Months1
Your Network
128 peopleShared Repositories
10
Work History
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for PranayN23/NFLResourceAnalysis. Delivered end-to-end Player Data Page featuring API integration with the MongoDB backend, a dynamic frontend UI, and a performance visualization to support data-driven player insights. The feature enables dynamic data fetch by name/position/team/year, adds position-specific statistics on the frontend, and introduces a PFF score progression line chart compared to the league/team average. This work enables faster scouting decisions and richer player analytics while laying the groundwork for additional data-driven features.
3 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for PranayN23/NFLResourceAnalysis. Delivered end-to-end Player Data Page featuring API integration with the MongoDB backend, a dynamic frontend UI, and a performance visualization to support data-driven player insights. The feature enables dynamic data fetch by name/position/team/year, adds position-specific statistics on the frontend, and introduces a PFF score progression line chart compared to the league/team average. This work enables faster scouting decisions and richer player analytics while laying the groundwork for additional data-driven features.
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance80.0%
AI Usage33.4%
Skills & Technologies
Programming Languages
CSSJSXJavaScriptPython
Technical Skills
API DevelopmentBackend DevelopmentDatabase IntegrationFlaskFrontend DevelopmentMongoDBREST APIsReactRecharts
Repositories Contributed To
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