Sunitha Sokkam

Result-oriented Quality Assurance professional with 3.5+ years in manual, API, and integration testing across CRM, ERP, and enterprise applications within Agile environments. Proven success in improving defect detection coverage, executing regression, SIT, and UAT cycles, maintaining 99% requirement traceability, and supporting high-quality software releases through structured testing. Expertise in SQL-based data validation, Postman API testing, Azure DevOps defect tracking, and Splunk monitoring.

Senior System Associate - Infosys Ltd

(2024-02)

• Coordinated QA activities across Agile sprints, preparing detailed sprint test reports, achieving a 28% increase in defect detection accuracy, and tracking user stories
• Conducted manual, integration, and API testing for the Microsoft Dynamics 365 Field Service application and FLS pages, validating scenarios with requirement coverage
• Examined backend datasets using SQL queries covering transactions and monitored application logs via Splunk, identifying 32% recurring defect trends during testing phases
• Partnered with Business Analysts, developers, and onsite stakeholders, addressing 85% reported defects during sprint phases and improving cross-team issue resolution tracking
• Facilitated API validations for CRM service integrations and organized SIT and UAT cycles for 10 cross functional initiatives, validating scenarios and identifying interface issues before deployment
• Maintained test cases and Requirements Traceability Matrices (RTMs), ensuring 99% requirement traceability, reducing missed validation checkpoints, and enhancing accuracy for software release cycles

System Associate & Operations Executive - Infosys Ltd

(2023-06 - 2024-01)

• Executed regression test cycles for Microsoft Dynamics 365 Finance & Operations in releases, validating scenarios, and increasing defect identification rate
• Performed API validations using Postman and completed UI assessments through PowerApps, covering endpoints and improving functional coverage
• Analyzed smoke and sanity testing for twenty application builds, identifying 25% critical defects during early validation stages before commencing complete regression cycles
• Developed automation-ready test scenarios, boosting structured validation coverage and strengthening regression stability for enterprise application modules
• Implemented negative and boundary scenario testing for cases, uncovering 28% edge-case defects not identified during standard functional validation activities
• Documented test cases and tracked defects within Azure DevOps, closing 88% issues within defined timelines and strengthening traceability accuracy

Bachelor of Science - Mathematics, Statistics, and Computer Science - Sri Vivekananda Women's & PG College (2019-10 - 2021-11)