Garima Singh

• Project 1 : Johnson and johnson
• Accountability:
• Gathered and defined business and functional requirements for each program.
• Coordinated and monitored work of co-located and remote teams.
• Conducted load, stress and endurance tests using Loadrunner to simulate realistic user activities.
• Responsible for designing multiple test scenarios.
• Documented testing procedures for developers and future testing use.
• Identified and tracked defects with jira and supported developers in resolving problems by completing additional tests.
• Evaluated data sets from multiple test implementations to determine and account for standard variance in test results.
• Project 2 : Walmart (NGTS)

Accountability:

• Developed UI test scripts and maintained it .
• Did Load , Endurance and Stress test execution and prepare excel and doc reporting
• Implemented use of Dynatrace and Jmeter tools to illustrate project features and requirements.
• Advised developers on problems with databases, performance and other issues.
• Project 3 : Logitech

Accountability:

• Understanding the Requirements and functional specification of the application..
• Participated in identifying the test scenarios.
• Involved in Test scripting, Test execution, Reporting and Analysis.

• Project: New Look
• Technologies & Tools : Jira, Akamai Cloud Test, Putty, AppDynamics, Jmeter, SAP hybris(platform).

Contribution

• Prepare all test excel and word documentations with detailed parameters. Used monitoring tools like AppDynamics tool on frequent basis.
• Enhance scripts and test cases updated with current requirements.
• Documented testing procedures for developers and future testing use.
• Conducted load, stress and endurance tests using Akamai cloud test to simulate realistic user activities.
• Tracked, prioritized and organized defects with Jira, working with development team to facilitate timely corrections.
• Worked in extra project as SIT and manual tester also where i have done end to end , integration and black box testing .
• Evaluated data sets from multiple test implementations to determine and account for standard variance in test results.