
Over six months, contributed to sqatools/GTM_PS_Batch06 and GTM_PS_Batch07 by building robust Python learning modules, automation frameworks, and onboarding materials. Developed and maintained features such as Selenium-Pytest UI automation with page objects, API testing frameworks with authentication, and data-driven testing using JSON. Enhanced repository hygiene, implemented logging, and improved test reliability by refining locators and wait strategies. Leveraged Python, Selenium, and Robot Framework to deliver practical tutorials, business-relevant automation, and maintainable codebases. Addressed data integrity in sample datasets and stabilized CI pipelines, resulting in faster feedback cycles, improved onboarding, and scalable test automation for both UI and API layers.
March 2025: Focused on stabilizing automated UI tests for the GTM_PS_Batch07 project by hardening login/logout flows in the UI test suite. The effort reduced flakiness in CI and improved test reliability, enabling faster feedback on UI changes and more reliable regression coverage.
March 2025: Focused on stabilizing automated UI tests for the GTM_PS_Batch07 project by hardening login/logout flows in the UI test suite. The effort reduced flakiness in CI and improved test reliability, enabling faster feedback on UI changes and more reliable regression coverage.
February 2025: Delivered a scalable UI and API test automation foundation in sqatools/GTM_PS_Batch07. UI: Selenium-Pytest core with page objects, fixtures, markers, HTML reports, parallel execution, and Goibibo flight booking tests across multiple browsers. Data-driven testing via JSON data and external variables. Framework scaffolding with logging. API: Bearer-authenticated API testing framework with basic GET operations. Impact: faster feedback, higher coverage, and safer releases; reduced manual testing. Skills demonstrated: Selenium, Pytest, Python, Page Object Model, JSON data management, CLI parallelization, HTML reporting, and API testing.
February 2025: Delivered a scalable UI and API test automation foundation in sqatools/GTM_PS_Batch07. UI: Selenium-Pytest core with page objects, fixtures, markers, HTML reports, parallel execution, and Goibibo flight booking tests across multiple browsers. Data-driven testing via JSON data and external variables. Framework scaffolding with logging. API: Bearer-authenticated API testing framework with basic GET operations. Impact: faster feedback, higher coverage, and safer releases; reduced manual testing. Skills demonstrated: Selenium, Pytest, Python, Page Object Model, JSON data management, CLI parallelization, HTML reporting, and API testing.
Monthly summary for 2025-01 focusing on delivering a robust Python practice and automation foundation across two repositories, with business value in training readiness, data handling capabilities, and QA automation potential. Highlights include feature-rich work in GTM_PS_Batch07 (Python fundamentals, file handling, Excel read operations, OS utilities, exception handling, decorators and generators, OOP concepts across sessions, and Selenium-based UI automation with advanced XPath, CSS selectors, waits, and multi-window handling), and API/testing framework groundwork in GTM_PS_Batch06 (base API client, authentication changes, and Robot Framework setup). No explicit bug-fix tickets were tracked this month; observed stability improvements and authentication-related enhancements were addressed where applicable. The work culminates in improved onboarding, repeatable automation pipelines, and a stronger foundation for scalable testing and data workflows.
Monthly summary for 2025-01 focusing on delivering a robust Python practice and automation foundation across two repositories, with business value in training readiness, data handling capabilities, and QA automation potential. Highlights include feature-rich work in GTM_PS_Batch07 (Python fundamentals, file handling, Excel read operations, OS utilities, exception handling, decorators and generators, OOP concepts across sessions, and Selenium-based UI automation with advanced XPath, CSS selectors, waits, and multi-window handling), and API/testing framework groundwork in GTM_PS_Batch06 (base API client, authentication changes, and Robot Framework setup). No explicit bug-fix tickets were tracked this month; observed stability improvements and authentication-related enhancements were addressed where applicable. The work culminates in improved onboarding, repeatable automation pipelines, and a stronger foundation for scalable testing and data workflows.
December 2024 performance summary for sqatools GTM_PS_Batch07 and GTM_PS_Batch06. The month delivered significant progress across Python learning modules and automation framework capabilities, with a focus on delivering business value through higher-quality code, better automation coverage, and improved observability.
December 2024 performance summary for sqatools GTM_PS_Batch07 and GTM_PS_Batch06. The month delivered significant progress across Python learning modules and automation framework capabilities, with a focus on delivering business value through higher-quality code, better automation coverage, and improved observability.
Concise monthly summary for 2024-11 covering GTM_PS_Batch06 and GTM_PS_Batch07. The month focused on solidifying foundational Python competencies, expanding automation capabilities, and establishing project onboarding and repository hygiene.
Concise monthly summary for 2024-11 covering GTM_PS_Batch06 and GTM_PS_Batch07. The month focused on solidifying foundational Python competencies, expanding automation capabilities, and establishing project onboarding and repository hygiene.
October 2024 monthly summary for sqatools/GTM_PS_Batch06. Focused on delivering practical Python tutorials and ensuring data integrity in sample datasets. Key deliverables include a new Educational Python Dictionary Methods Demo (covering update, get, keys, values, items, pop, popitem, clear, fromkeys), shallow/deep copy examples, setdefault, plus supporting Diwali homework content on pattern printing and a fruit shop application using lists. Additionally, corrected the fruits dataset to align prices and quantities, ensuring demonstrations reflect accurate data. This work strengthens onboarding, reproducibility, and the educational value of the repository, and demonstrates how foundational Python concepts translate into concrete, business-relevant examples.
October 2024 monthly summary for sqatools/GTM_PS_Batch06. Focused on delivering practical Python tutorials and ensuring data integrity in sample datasets. Key deliverables include a new Educational Python Dictionary Methods Demo (covering update, get, keys, values, items, pop, popitem, clear, fromkeys), shallow/deep copy examples, setdefault, plus supporting Diwali homework content on pattern printing and a fruit shop application using lists. Additionally, corrected the fruits dataset to align prices and quantities, ensuring demonstrations reflect accurate data. This work strengthens onboarding, reproducibility, and the educational value of the repository, and demonstrates how foundational Python concepts translate into concrete, business-relevant examples.

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