Snigdha Meharwal

Analyzed historical and live operational data to forecast booking trends, leveraging passenger influx data from Dublin Airport Authority to inform strategic decisions.

Developed and implemented KPI dashboards, optimizing driver performance monitoring and resource allocation for enhanced operational efficiency.

Improved car park capacity utilization by managing allocations via the ParkIT app and data-driven predictions, demonstrating strong analytical and problem-solving skills.

Managed comprehensive coach operations, ensuring stringent safety compliance and enhancing operational efficiency by 20% through strategic oversight.

Facilitated user research and gathered critical insights, leading to service offering enhancements that increased customer reach by 30%.

Developed data-driven reports utilizing Tableau, providing actionable insights that informed and launched new service initiatives.

Automated 85% of manual API tests using Python and Postman, cutting regression testing time by 70% and boosting release cycle efficiency by 30%.

Implemented a continuous integration/continuous deployment (CI/CD) pipeline for API testing, resulting in a 50% reduction in time-to-market (TTM) for new features and updates.

Designed comprehensive test strategies and exit reports, enhancing traceability and reducing post-release defects by 40% across three enterprise web applications.

Orchestrated the transition to Behavior-Driven Development (BDD) for API testing, increasing collaboration by 45% and reducing defect leakage.

Contributed to QA lifecycle improvements, reducing test script maintenance time by 35% via reusable module creation and enhancing test traceability by 25%.

Developed and maintained automated test scripts for a complex web application using Robot Framework, achieving a 60% reduction in manual testing efforts and enhancing test accuracy by 15%.

Performed non-functional testing, including performance and security validation, identifying vulnerabilities that reduced risk exposure by 70%.

Escalated critical production-blocking issues proactively, reducing defect triage time by 50% and minimizing release delays.

Integrated Azure DevOps pipelines for automated testing and defect tracking, streamlining QA cycles and reducing manual overhead by 50%.

Developed and maintained detailed release notes and test summaries, improving stakeholder communication and reducing sign-off delays by 30%.

Led User Acceptance Testing (UAT) coordination efforts across three release cycles, ensuring 98% test case coverage and reducing user-reported defects by 40%.

Redesigned the test approach for a high-traffic web portal, achieving 30% faster execution cycles and enhancing system stability under peak loads.

Assisted in the transition from manual to automated testing processes using pyTest, contributing to a 30% increase in testing efficiency and faster release cycles.

Collaborated with developers to troubleshoot and resolve testing issues, enhancing communication and reducing defect resolution time by 15%.