REBECCA ABRAHAM JASPHER

Client Project: Royal Bank of Canada

• Designed and optimized JMeter (Web, API, Desktop) and LoadRunner (HTTP & TruClient) scripts for SSO- and proxy-secured workflows, including heavy data uploads, form submissions, and dynamic API payloads.
• Reduced script maintenance effort by 40% by engineering highly reusable test scripts with advanced parameterization and modularization techniques.
• Automated error-capturing and logging system in JMeter, improving defect traceability and cutting debugging time by 30%.
• Collaborated with development and DB teams to optimize API response times (~25% reduction) and bulk data upload workflows (~25% faster processing).
• Monitored performance with Dynatrace and Grafana, identifying and resolving bottlenecks like memory leaks, CPU spikes, and slow DB queries.
• Queried and validated data using MySQL and PostgreSQL.

Client Project: Loblaw – Health Watch

• Executed performance tests for API and desktop applications, ensuring stable application behavior under load.
• Monitored server and transaction metrics using Dynatrace, identifying performance gaps and recommending improvements.
• Streamlined test reporting and defect tracking using JIRA, reducing issue turnaround time.

Client Project: ServiceFocus Helpdesk Application

• Led performance and functional testing initiatives, improving system stability under peak loads.
• Created scalable, parameterized JMeter scripts and optimized automation workflows to reduce manual effort by 50%.
• Automated regression and end-to-end testing using Python Selenium (POM, data-driven), accelerating release cycles.
• Conducted functional, cross-browser, and mobile device testing, ensuring improved usability and consistency.
• Debugged API requests/responses using Fiddler, reducing defect resolution time.
• Analyzed server-side metrics, including CPU utilization, memory, and database queries, to identify bottlenecks and provide actionable recommendations.

Client Project: Kone Elevators

• Provided functional testing and monitoring support for the web application, improving defect detection and resolution.
• Used New Relic APM to proactively identify potential system issues and recommend performance optimizations.
• Automated basic testing tasks, reducing manual effort and speeding up smoke and regression testing cycles.
• Streamlined request and issue management, improving project workflow efficiency.
• Conducted smoke testing after each release to ensure build stability and performed functional validation of new application features.