About

Anshu Bajaj is a Software Automation Tester with a diverse experience in API, UI, Functional & Non-Functional Testing. With a Bachelor's degree in Computer Science from Chitkara University, Anshu has 1.26 years of relevant experience in the field of Software Engineering, SDET, QA, Backend, Mobile, Elastic Search, Azure, Selenium, NodeJS, Kubernetes, Spring Boot, Web, and UI. Currently, Anshu works as an Associate Software Development Engineer in Testing (Automation) at Bajaj Finserv Health, where she is responsible for developing a Centralised Company Wide ELK Reporting & Alerting Framework. She has mentored interns and conducted sessions on the use of Elastic Stack in tracking Performance / gaps in development from a QA's point of view. Anshu has designed an Automation Framework to perform Smart Monkey Testing using Permutations & Combinations for generating input data. She is also the QA Owner for the Doctor & Hospital Listing team at Bajaj Health, involved in complete testing lifecycle & release management involving mid sprint & final sprint release. Anshu has owned the Azure Kubernetes Service Container Monitoring Project to track Restarts/ Evictions using Grafana & Nodejs APIs for alerting & reporting + Deployment on Production cluster. She has handled Data pipeline issues from data producers to data consumers and developed an automated monitoring funnel involving multiple steps from source to end-user. Anshu has monitored downtimes, daily errors using ElasticSearch & Performance Testing using Jmeter for analysis to avoid downtimes. Anshu's past experience includes working as a Test Automation Intern at Bajaj and an Intern at GeeksForGeeks, where she wrote articles on topics related to Computer Science, Software Engineering, and common problems faced in Web Development. Anshu's education history includes a Bachelor's degree in Computer Science from Chitkara University and Secondary Education from Bhavan Vidyalaya Chandigarh. Anshu has knowledge of Elastic Stack & Observability concepts like Tracing, Metrics, Monitoring, Logging, etc. and experience working with observability tools like Kibana, Grafana, etc.