Vignesh Sundar Email and Phone Number

impress.ai is an ‘accurate hiring’ platform that autonomously interviews candidates for any job and produces a fit-score based on the knowledge, skills and experience required for the role.The platform comes with built-in interview libraries and qualification algorithms for hundreds of roles across 6 industries.It is used by 50+ large organisations like DBS, Singtel, ADB, OCBC Group, Ngee Ann Poly and the Singapore Government.----impress.ai improves accuracy, consistency and efficiency of the recruitment process:⭐️50% increase in accuracy of shortlisting; 90% overall accuracy reported for shortlisting⭐️4-6x faster time to shortlist; 94% applications reviewed within 72 hours⭐️98% of candidate queries answered autonomously⭐️50% reduction in manual human effort⭐️80% improvement in candidate drop-off rate⭐️Consistently delivered good experience leading to 95% positive candidate ratings⭐️100% of candidates get an interview#MakingAccurateHiringEasier

‣ Tested and assured quality releases for website and CRM application‣ Prepared test plan, test case and test scenarios for the application‣ Performed functional, smoke, regression, negative testing‣ Defect logging, tracking and provided adequate support to developers for defect analysis‣ Tested performance of application using JMeter and online performance measuring tools and provided adequate support to dev team

‣ Hands on Experience in Web application testing in healthcare industry.‣ Prepared Test plan, Test Cases and Testing scenarios, implement and configure the application.‣ Prepared Traceability Matrix between test cases and requirements.‣ Performed Functional, Regression, Smoke, Negative, Integration and System testing.‣ Defect logging, tracking and providing adequate support to developers for defect analysis.‣ Sending project status reports to clients, attending client queries and providing clarifications and release management.‣ Provided On-site support for 6 months which included Implementation support, staff training, meetings and interactions to gather data for new features and handling on-time escalations.