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Nithish Pandian

PROFILE

Nithish Pandian

Worked on the TCS-2021/Data-Mining-Project, focusing on backend and frontend improvements to enhance performance and maintainability. Introduced caching for data cube generation using Python and Streamlit, which reduced recomputation time and improved dashboard responsiveness. Refactored the application to establish a clear separation between frontend and backend components, with the backend dedicated to data processing and cube generation while the frontend managed the user interface. Emphasized scalable development by stabilizing and restructuring the codebase, leveraging skills in data modeling, data warehousing, and caching. No major bugs were addressed during this period, with efforts concentrated on feature delivery and architectural refinement.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
2
Lines of code
308
Activity Months1

Work History

April 2025

2 Commits • 2 Features

Apr 1, 2025

April 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.

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

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

TCS-2021/Data-Mining-Project

Apr 2025 Apr 2025
1 Month active

Languages Used

Python

Technical Skills

Backend DevelopmentCachingData AnalysisData ModelingData WarehousingFrontend Development