Akhil Babu Vankayalapati

Part of the Core Automation QA team, I contributed to framework enhancements, utility development, proof-of-concept initiatives, and automation of test cases and regression cycles.

• UI & API Testing : TestNG/Robot, Java/Python, & Selenium
  Worked with Kubernetes, Linux & IIS servers, & MongoDB
• Used Postman, Jira, Grafana & Kibana for test & monitoring.Skilled in Agile estimation & time tracking.
• Raised critical valid bugs during my journey
• Collaborate with cross-functional teams, weaving detailed test reports into a narrative of software quality
• Maintain version control using Git, ensuring the integrity of the codebase and facilitating teamwork

Work Projects : Cert+, Kube+ , Platform, Visual Work Flow, Optimized testing

• Proficient in automated testing, CI/CD analysis, and enhancing frameworks/utilities to facilitate efficient deployments and regression cycles.
• Involved in both manual and automated testing, utilizing Selenium for web automation and RestAssured for API testing, leveraging Python.
• Contributed to test case creation and maintenance, ensuring comprehensive testing coverage.
• Collaborated closely with the QA team to identify and report software defects. Utilized Jira for efficient bug tracking and issue resolution.

Projects:

Utilized Python proficiency and a deep understanding of Kubernetes to intricately automate P1 and P0 test cases within the Kube+ product.

Responsibilities:

• Performing web scraping and fetching out the data from the web.
• Undertake pre-processing of structured and unstructured data.
• Finding out insights from the data which is useful for the organization
• Presenting information using data visualization techniques.

Responsibilities:

• This is a training and internship session that covers all aspects of Data Science.
• Learning different models of machine learning and understanding math behind it.
• Undertake pre-processing of structured and unstructured data.
• Finding an accurate model that gives accurate results for the given problem.
• Presenting information using data visualization techniques.