dyvasugnan/PPS_CSEB_2024Batch
Dec 2024 – Jan 2025
2 Months active
Languages Used
C
Technical Skills
Basic C ProgrammingBasic C programmingString ManipulationString manipulationAlgorithm ImplementationArray Manipulation
24wh1a0591
PROFILE
24wh1a0591
Contributed a suite of foundational C utilities and educational resources to the dyvasugnan/PPS_CSEB_2024Batch repository over a two-month period, focusing on both project scaffolding and hands-on algorithm demonstrations. Developed standalone programs for string manipulation, array processing, recursion, and matrix operations, including utilities for linear search, palindrome checking, recursive factorial, and matrix addition. Emphasized clarity in input/output handling and code structure to support onboarding and instructional use. Leveraged C programming, Git version control, and asset management to deliver reproducible setups and media resources, resulting in a demo-ready codebase that facilitates learning and review without reported bug fixes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
12
Lines of code
241
Activity Months2
Your Network
229 peopleWork History
January 2025
11 Commits • 9 Features
Jan 1, 2025Month: 2025-01 | Project: dyvasugnan/PPS_CSEB_2024Batch. Delivered a concise suite of standalone C utilities demonstrating core algorithms and data-processing tasks, with emphasis on clarity of input/output and educational value. Key features implemented include linear search, statistics (min/max/average), recursive calculators (factorial, sum), palindrome checker, recursive gcd, 3x3 matrix addition, and a perfect-number checker. Media assets (Android screenshots) were added to support demonstrations and onboarding. No explicit bug fixes are documented for this month; the focus was on feature delivery and repository completeness. Overall, this work strengthens the demo-ready codebase and provides ready-to-share examples for learners and reviewers.
11 Commits • 9 Features
Jan 1, 2025Month: 2025-01 | Project: dyvasugnan/PPS_CSEB_2024Batch. Delivered a concise suite of standalone C utilities demonstrating core algorithms and data-processing tasks, with emphasis on clarity of input/output and educational value. Key features implemented include linear search, statistics (min/max/average), recursive calculators (factorial, sum), palindrome checker, recursive gcd, 3x3 matrix addition, and a perfect-number checker. Media assets (Android screenshots) were added to support demonstrations and onboarding. No explicit bug fixes are documented for this month; the focus was on feature delivery and repository completeness. Overall, this work strengthens the demo-ready codebase and provides ready-to-share examples for learners and reviewers.
January 2025
December 2024
10 Commits • 3 Features
Dec 1, 2024Month: 2024-12 — Focused on delivering foundational lab scaffolding, practical C utilities, and enriched lab resources for the dyvasugnan/PPS_CSEB_2024Batch repository. Key outcomes include a reproducible project setup with placeholder files for Class lab and Class repo, functional C string utilities for length calculation and first occurrence search, and a library of lab image assets plus example code to support hands-on sessions. No major bugs reported; work emphasizes performance-review-ready features, onboarding efficiency, and instructional quality. Technologies leveraged include Git version control, basic C programming, and asset management.
December 2024
10 Commits • 3 Features
Dec 1, 2024Month: 2024-12 — Focused on delivering foundational lab scaffolding, practical C utilities, and enriched lab resources for the dyvasugnan/PPS_CSEB_2024Batch repository. Key outcomes include a reproducible project setup with placeholder files for Class lab and Class repo, functional C string utilities for length calculation and first occurrence search, and a library of lab image assets plus example code to support hands-on sessions. No major bugs reported; work emphasizes performance-review-ready features, onboarding efficiency, and instructional quality. Technologies leveraged include Git version control, basic C programming, and asset management.
Activity
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Quality Metrics
Correctness87.6%
Maintainability87.6%
Architecture80.0%
Performance82.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C
Technical Skills
Algorithm ImplementationArray ManipulationBasic C ProgrammingBasic C programmingC ProgrammingInput/Output OperationsMatrix operationsRecursionRecursive FunctionsString ManipulationString manipulation
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