TCS-2021/Data-Mining-Project
Apr 2025 – Apr 2025
1 Month active
Languages Used
Python
Technical Skills
Backend DevelopmentCachingData AnalysisData ModelingData WarehousingFrontend Development
Nithish Pandian
PROFILE
Nithish Pandian
During April 2025, this developer enhanced the TCS-2021/Data-Mining-Project by delivering two features focused on performance and maintainability. They implemented caching for data cube generation using Python and Streamlit, reducing recomputation time and improving dashboard responsiveness. Their work included a thoughtful architectural refactor, separating frontend and backend logic to clarify responsibilities and support scalable development. The backend now handles data processing and cube generation, while the frontend manages the user interface. With skills in backend development, data modeling, and caching, the developer prioritized business value and code stability, laying a foundation for faster analytics and more maintainable future enhancements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
308
Activity Months1
Your Network
25 people
Work History
April 2025
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for TCS-2021/Data-Mining-Project: Delivered caching and architectural improvements that enhance performance and maintainability. Focused on business value by reducing recomputation time for data cubes and enabling clearer frontend-backend separation. No major bugs fixed; stabilization and refactoring round out feature delivery to support faster dashboards and scalable development.
2 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for TCS-2021/Data-Mining-Project: Delivered caching and architectural improvements that enhance performance and maintainability. Focused on business value by reducing recomputation time for data cubes and enabling clearer frontend-backend separation. No major bugs fixed; stabilization and refactoring round out feature delivery to support faster dashboards and scalable development.
April 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability100.0%
Architecture100.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentCachingData AnalysisData ModelingData WarehousingFrontend DevelopmentStreamlit
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