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Anusha Sree

Anusha Sree

Mobile QA Analyst

Talent
Bengaluru, Bengaluru UrbanMember since March 6, 2026
MaestroManual TestingJiraPostmanAndroid TestingiOS TestingFunctional TestingRegression TestingSmoke TestingUI/UX TestingAgile/ScrumGitPlaywright (JavaScript)Maestro (YAML)Mobile RegressionJavaScriptYAMLNetwork MockingPage Object Model (POM)Playwright Trace Viewer
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MaestroManual TestingJiraPostmanAndroid Testing

About

Quality Analyst with 2+ years of experience in mobile application testing across Android and iOS platforms. Skilled in manual testing and mobile automation using Maestro, with strong focus on functional, regression, smoke, and UI/UX testing. Proficient in Agile/Scrum, defect management using Jira, and basic API testing with Postman. Known for ownership, clear communication, and delivering reliable, user-centric product releases

Experience

QA Analyst – Mobile (Android & iOS) at Schneider Electric (2023-06 – Present)

Quality Analyst responsible for manual and automated testing of mobile applications on Android and iOS platforms

  • Design and execute detailed manual test cases for key mobile flows including login, onboarding, OTP, search, and profile on Android and iOS.
  • Build and maintain Maestro automation scripts for critical user journeys, enabling stable, reusable regression scenarios.
  • Automate repetitive mobile flows using Maestro, reducing manual regression effort by around 30% per sprint.
  • Create and update test cases, test data, and traceability documents aligned with user stories and acceptance criteria.
  • Log and track defects in Jira, collaborate with developers for root cause analysis, and validate fixes before release.
  • Actively participate in Agile ceremonies, providing QA status, risks, blockers, and test coverage inputs to the team.
  • Work with product and design teams to refine acceptance criteria and improve overall user experience.
  • Expand test coverage for 10+ critical user journeys, increasing defect detection before release and improving release stability.
  • Strengthen the regression suite by increasing Maestro automation coverage and standardizing bug reproduction steps.
  • Support 10+ sprint releases, managing priorities across stories and ensuring high-quality, on-time deliveries.

Education

B.Sc. in Computer Science – PSGR Krishnammal College

Skills

Mobile QA Analyst

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