sqatools/GTM_PS_Batch08
Jan 2025 – May 2025
4 Months active
Languages Used
PythonTextJavaScript
Technical Skills
Basic ArithmeticBasic ProgrammingBeginner ProgrammingConditional LogicConditional StatementsFile Management
ChhaviGupta93
PROFILE
Chhavigupta93
Chhavi Gupta developed foundational and advanced automation assets for the sqatools/GTM_PS_Batch08 repository over four months, focusing on Python and Selenium. She established project scaffolding and a suite of Python learning exercises to accelerate onboarding and enable early QA feedback. Her work included beginner-friendly programs for strings, lists, and tuples, as well as a comprehensive set of runnable Python examples covering file handling, decorators, generators, and exception handling. Chhavi also delivered a Selenium-based flight booking automation framework using the Page Object Model, creating reusable components that streamline regression testing and reduce manual effort. No production bugs were reported during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
20Total
Bugs
0
Commits
20
Features
5
Lines of code
18,456
Activity Months4
Your Network
24 peopleWork History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary for sqatools/GTM_PS_Batch08: Delivered a scalable flight booking automation capability and established reusable automation patterns to accelerate QA throughput and reduce manual testing effort.
1 Commits • 1 Features
May 1, 2025May 2025 performance summary for sqatools/GTM_PS_Batch08: Delivered a scalable flight booking automation capability and established reusable automation patterns to accelerate QA throughput and reduce manual testing effort.
May 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for sqatools/GTM_PS_Batch08. Delivered a comprehensive Python Coding Examples Suite that covers core concepts (strings, conditionals, loops, dictionaries, file handling, basic class definitions) and advanced topics (pytest test cases, generators, decorators, exception handling, data formats like CSV/JSON/Excel), plus a Selenium browser automation script. This work advances developer enablement, accelerates onboarding, and provides practical, runnable examples for training and QA automation.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for sqatools/GTM_PS_Batch08. Delivered a comprehensive Python Coding Examples Suite that covers core concepts (strings, conditionals, loops, dictionaries, file handling, basic class definitions) and advanced topics (pytest test cases, generators, decorators, exception handling, data formats like CSV/JSON/Excel), plus a Selenium browser automation script. This work advances developer enablement, accelerates onboarding, and provides practical, runnable examples for training and QA automation.
February 2025
4 Commits • 1 Features
Feb 1, 2025February 2025 — Delivered the Python Fundamentals Exercise Suite: Strings, Lists, and Tuples for sqatools/GTM_PS_Batch08. Implemented four beginner-friendly programs covering string slicing/reversal/counting, vowel/consonant checks; list operations (squaring numbers, concatenation, simple aggregation); and tuple operations (find maximum without built-in max) with scaffolded exercises. This set strengthens onboarding and self-guided learning for Python fundamentals and serves as reusable practice assets. Commits across four changesets: 45079eddd42897879a0bbf5b60112a3a975d0cb2, 66a516ebefb2f66433449cb8a805ed06701da948, 965928bcd84b72e64e88e64de824e338a1ef1b2e, cf01f3fd1e4f04adfd4dcebe14d72570623e7c18 (all with message 'new programs'). Major bugs fixed: none reported. Overall impact: improved learning path, ready for evaluation and potential automation; Technologies/skills demonstrated: Python fundamentals, problem decomposition, scaffolded design, version control practices.
4 Commits • 1 Features
Feb 1, 2025February 2025 — Delivered the Python Fundamentals Exercise Suite: Strings, Lists, and Tuples for sqatools/GTM_PS_Batch08. Implemented four beginner-friendly programs covering string slicing/reversal/counting, vowel/consonant checks; list operations (squaring numbers, concatenation, simple aggregation); and tuple operations (find maximum without built-in max) with scaffolded exercises. This set strengthens onboarding and self-guided learning for Python fundamentals and serves as reusable practice assets. Commits across four changesets: 45079eddd42897879a0bbf5b60112a3a975d0cb2, 66a516ebefb2f66433449cb8a805ed06701da948, 965928bcd84b72e64e88e64de824e338a1ef1b2e, cf01f3fd1e4f04adfd4dcebe14d72570623e7c18 (all with message 'new programs'). Major bugs fixed: none reported. Overall impact: improved learning path, ready for evaluation and potential automation; Technologies/skills demonstrated: Python fundamentals, problem decomposition, scaffolded design, version control practices.
February 2025
January 2025
13 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01) – GTM_PS_Batch08: Delivered foundational repository scaffolding and a suite of Python learning exercises, establishing a repeatable baseline for testing and feature development. Achievements include creating the initial project structure with a placeholder file to enable testing, and implementing Python practice scripts covering conditionals, loops, data structures, and calculator logic, complemented by extensive commit activity demonstrating iterative development. This work reduces onboarding time, enables early QA feedback, and sets the stage for CI/testing automation.
January 2025
13 Commits • 2 Features
Jan 1, 2025January 2025 (2025-01) – GTM_PS_Batch08: Delivered foundational repository scaffolding and a suite of Python learning exercises, establishing a repeatable baseline for testing and feature development. Achievements include creating the initial project structure with a placeholder file to enable testing, and implementing Python practice scripts covering conditionals, loops, data structures, and calculator logic, complemented by extensive commit activity demonstrating iterative development. This work reduces onboarding time, enables early QA feedback, and sets the stage for CI/testing automation.
Activity
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Quality Metrics
Correctness85.0%
Maintainability84.0%
Architecture69.0%
Performance76.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptPythonText
Technical Skills
Basic ArithmeticBasic Data StructuresBasic ProgrammingBeginner ProgrammingConditional LogicConditional StatementsControl FlowData StructuresDecoratorsException HandlingFile HandlingFile I/OFile ManagementGeneratorsList Manipulation
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