GDG-IGDTUW/DSA-1
Jan 2026 – Jan 2026
1 Month active
Languages Used
JavaPython
Technical Skills
JavaPythonPython programmingalgorithm designalgorithm developmentdata structures
Tanya Gupta
PROFILE
Tanya Gupta
Tanya developed a cross-language toolkit of reusable data structure and algorithm utilities for the GDG-IGDTUW/DSA-1 repository, focusing on accelerating development and improving maintainability. She implemented core algorithm libraries in both Java and Python, including array manipulation with Kadane’s algorithm, string parsing utilities, and a stock profit calculator. Her approach emphasized clean, readable code and modular design, enabling easy reuse and onboarding. Tanya also introduced a frequency analysis utility for list data. Throughout the month, she prioritized refactoring for clarity and scalability, demonstrating strong skills in algorithm design, data structures, and problem solving without any critical bugs reported.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
174
Activity Months1
Your Network
53 people
Work History
January 2026
10 Commits • 4 Features
Jan 1, 2026January 2026 — GDG-IGDTUW/DSA-1: Delivered a cohesive, cross-language toolkit of reusable data-structure and algorithm utilities that accelerate development and improve maintainability. Focused on core algorithm implementations, readability, and scalable patterns across Java and Python. Key features delivered: - Array Algorithms Library (Java): maximum subarray sum (Kadane’s), product of array except self, and longest subarray with sum k. Commits: d4b4060208d500749734f0e319bce639aea7bb31; 810ebe59c15c1c8a79905da3fd6c8a89544f6503; 32c3f4433ac56ed5af61c585ce47223dd4f6dbd0. - String Processing Utilities (Python): atoi conversion, roman numeral to integer, longest substring without repeating characters, and longest common prefix, plus a readability refactor. Commits: 8f3be97bfe00719e117129c9de21b0e2602b04f5; 66a3ccdad74d674bc830df29e08e478ada4c44e2; ee7dab749425be126d43df358c0edaa542b71b28; 48ed5daa1dabaf6b14d88eae789424ef64462d3b; 34f798e270b9b8fbba2408df0705a6bf4ea41c01. - Stock Profit Calculator (Python): class to calculate maximum profit from stock prices by identifying the best buy/sell times. Commit: c852cbbc865a464f66fe94af16804e0e17ccc32e. - Frequency Analysis Utility (Python): function to count the total elements that have the maximum frequency in a list. Commit: 422cfac7750f5d163910e47fb327b13c5dd3f03f. Major bugs fixed: - No critical bugs reported this month. Notable focus on readability improvements and refactors across utilities to enhance maintainability and onboarding. Overall impact and accomplishments: - Established a robust, reusable analytics and algorithm toolkit enabling faster feature delivery, interview-ready practice, and cross-language consistency. - Demonstrated end-to-end delivery from algorithm design to clean, readable implementations across Java and Python. Technologies/skills demonstrated: - Java and Python implementations of core algorithms - Kadane’s algorithm, array manipulation, string parsing, and prefix problems - Refactoring for readability and maintainability - Version-controlled, modular design suitable for reuse across projects
10 Commits • 4 Features
Jan 1, 2026January 2026 — GDG-IGDTUW/DSA-1: Delivered a cohesive, cross-language toolkit of reusable data-structure and algorithm utilities that accelerate development and improve maintainability. Focused on core algorithm implementations, readability, and scalable patterns across Java and Python. Key features delivered: - Array Algorithms Library (Java): maximum subarray sum (Kadane’s), product of array except self, and longest subarray with sum k. Commits: d4b4060208d500749734f0e319bce639aea7bb31; 810ebe59c15c1c8a79905da3fd6c8a89544f6503; 32c3f4433ac56ed5af61c585ce47223dd4f6dbd0. - String Processing Utilities (Python): atoi conversion, roman numeral to integer, longest substring without repeating characters, and longest common prefix, plus a readability refactor. Commits: 8f3be97bfe00719e117129c9de21b0e2602b04f5; 66a3ccdad74d674bc830df29e08e478ada4c44e2; ee7dab749425be126d43df358c0edaa542b71b28; 48ed5daa1dabaf6b14d88eae789424ef64462d3b; 34f798e270b9b8fbba2408df0705a6bf4ea41c01. - Stock Profit Calculator (Python): class to calculate maximum profit from stock prices by identifying the best buy/sell times. Commit: c852cbbc865a464f66fe94af16804e0e17ccc32e. - Frequency Analysis Utility (Python): function to count the total elements that have the maximum frequency in a list. Commit: 422cfac7750f5d163910e47fb327b13c5dd3f03f. Major bugs fixed: - No critical bugs reported this month. Notable focus on readability improvements and refactors across utilities to enhance maintainability and onboarding. Overall impact and accomplishments: - Established a robust, reusable analytics and algorithm toolkit enabling faster feature delivery, interview-ready practice, and cross-language consistency. - Demonstrated end-to-end delivery from algorithm design to clean, readable implementations across Java and Python. Technologies/skills demonstrated: - Java and Python implementations of core algorithms - Kadane’s algorithm, array manipulation, string parsing, and prefix problems - Refactoring for readability and maintainability - Version-controlled, modular design suitable for reuse across projects
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaPython
Technical Skills
JavaPythonPython programmingalgorithm designalgorithm developmentdata structuresproblem solving
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