Quality Assurance Testing Projects in DelhiQuality Assurance Testing Projects in Delhi
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Cover image for Quality Intelligence Hub is a
Quality Intelligence Hub is a concept web application designed to transform fragmented CI/CD and automated testing data into a single, actionable quality dashboard. I designed the experience around a common engineering challenge: test results are often distributed across CI/CD pipelines and multiple testing frameworks, making it difficult for QA and engineering teams to quickly understand release readiness. The dashboard brings together test execution metrics, pass/fail trends, release confidence, risk levels, failure intelligence, root-cause indicators, and test-suite performance in one interface. The goal was to move beyond simply displaying test results and create an experience that helps teams answer three questions quickly: Are we safe to release? What is failing? What needs attention first?
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Led the business analysis and requirement definition for a logistics operations enhancement project focused on compliance, reporting, and operational efficiency. Key Contributions ✅ Defined requirements for E-Challan and Court Challan management workflows ✅ Improved reporting capabilities by introducing enhanced Redash dashboards with vehicle-level and challan-level visibility ✅ Collaborated with stakeholders to design driver allocation validation rules, preventing assignment of drivers with expired or soon-to-expire licenses ✅ Gathered and documented requirements for reimbursement tracking enhancements, including dummy amount and comment fields for reporting purposes ✅ Worked closely with product, engineering, and operations teams during UAT to refine business rules and improve user experience Deliverables Business Requirement Documentation (BRD) User Stories & Acceptance Criteria Process Flow Analysis UAT Support & Validation Stakeholder Coordination Reporting & Dashboard Requirements Tools Jira • SQL • Redash • Agile • UAT • Business Analysis Outcome The enhancements improved compliance visibility, reduced operational risks related to driver allocation, and provided more accurate reporting for operations teams.
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