Manisha Manchala

• Led the Resolution Framework project, collaborating with product owners and Scrum Masters to define requirements and plan sprint improvements. • Designed and implemented comprehensive test cases, integrating them into an automation framework using Selenium. • Executed automated scripts with 90%+ test case pass rate, identifying critical defects and raising them via JIRA. • Optimized testing processes by initiating discussions with business teams, leading to key sprint refinements.

• Led end-to-end testing for Global Logistics Orchestration (GLO) & Analytics Products (Order Management, Shipper Booking, Transport Order, Cargo Load Plan, and Container Load Plan), ensuring seamless functionality for German and EU clients. • Designed and executed comprehensive test plans, including functional, regression, and system testing, to ensure product quality and compliance with business requirements. • Identified, documented, and tracked defects, collaborating with cross-functional teams.

• Led testing efforts for Rivana, a suite of AI-driven financial products including CashApp, Credit, Collections, Cash Forecasting, and Deductions, ensuring seamless integration and performance. • Served as the primary point of contact for all Rivana products, addressing issues and coordinating resolutions. • Validated AI-generated predictions by testing data science algorithms to ensure accuracy and alignment with client requirements. • Designed and implemented test cases across UI, API, and ML.

• Led testing efforts for AI-based use cases and algorithms, ensuring seamless UI integration and accurate predictive analytics. • Designed and executed regression test suites, improving efficiency and stability for each product release. • Developed and optimized test cases, refining test execution strategies for higher accuracy and coverage. • Analyzed test results and provided insights, enabling data-driven improvements to algorithms and system performance.

• Executed end-to-end testing for AI-driven use cases and algorithms, ensuring accurate predictions across multiple environments, including production. • Validated AI-generated outputs, troubleshooting and reporting discrepancies to improve accuracy. • Performed regression testing for every release to maintain product stability and consistency. • Prepared test reports documenting test coverage, success rates, and key findings. • Collaborated with senior QA engineers to refine test strategies.