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Roshan Bais

Wipro enabled the development of robust test strategies to improve software quality through functional, backend, and automation testing. Contributed to successful migrations by validating results with Beyond Compare and automating test cases using Selenium WebDriver, TestNG, and Java. Collaborated with cross-functional teams to ensure seamless implementation of quality solutions.

Graduated with a Bachelor's in Electrical, Electronics, and Communications Engineering from Hyderabad Institute of Technology & Management. Skilled in JUnit, Gherkin, and Agile methodologies, with certifications in Test Automation Foundations and Neural Networks. Dedicated to enhancing testing processes and delivering reliable software solutions.

  • Role

    SDET & Cucumber Developer

  • Years of Experience

    3 years

Skillsets

  • Java
  • Type Script
  • HTML
  • SQL
  • continuous integration
  • Page Object Model
  • Keyword driven
  • Behaviour driven

Professional Summary

3Years
  • Apr, 2021 - Present4 yr 9 months

    Senior QA Engineer

    Wipro-Change Healthcare OPTUM
  • Apr, 2020 - May, 2020 1 month

    Software Engineer Intern

    Elegant embedded systems

Applications & Tools Known

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    Git

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    Maven

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    Jenkins

  • icon-tool

    Selenium

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    JUnit

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    Testng

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    Cucumber

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    Rest-Assured

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    Beyond Compare

Work History

3Years

Senior QA Engineer

Wipro-Change Healthcare OPTUM
Apr, 2021 - Present4 yr 9 months
    Working in the Healthcare domain to perform printing solutions. Created common testing framework (Java, Cucumber, Oracle DB, RestAsssured) for component testing in 3+ teams. Prepared test strategy to improve process and outline testing coverage, approach and tools. Participated in Agile method on Jira, scrum meetings, prepared Test plans, Test Cases, and documentation. Validated before and after migration results using Beyond Compare tool, PDfcomapare utility in Selenium, StreamDiff Comparison, and Inet PDF tool. Set up dummy database; tested manual and automated Oracle and SQL Server Management Studio using SQL. Developed and executed SQL scripts for Functional Testing using manual and automation methods. Wrote Selenium tests using Selenium Web driver, Page object model, Keyword driven, and Behaviour driven approaches. Conducted web automation testing for new features and existing features using Java, various web element locators, database integration, and reporting with JUnit and Testng frameworks. Performed REST API Testing using POSTMAN, and Selenium REST Assured utility. Used Maven for building the Web Driver project and integrated with Continuous Integration tools like Jenkins for nightly test runs. Covered 100% manual scenarios with automation, decreasing regression time from 5 days to 2 days. Integrated automation jobs into Jenkins and maintained test automation logs, reporting, and bug resolution verification. Implemented new processes across 6 teams, created test quality metrics, training materials, organized onboarding knowledge transfers, and assisted in improving work processes for production defects. Mentored QA engineers, providing guidance and task assignments.

Software Engineer Intern

Elegant embedded systems
Apr, 2020 - May, 2020 1 month
    Worked on MPMC, Arduino UNO, Raspberry Pi 3b, with C language, Embedded C. Built projects and implemented solutions, wrote code and debugged in C language.

Achievements

  • Created common testing framework (Java, Cucumber, Oracle DB, RestAssured) for component testing in 3+ teams.
  • Prepared test strategy to improve process and outline testing coverage, approach and tools.
  • Covered 100% manual scenarios with automation that decreased regression time from 5 days to 2 days.

Education

  • Bachelors Degree, Faculty of Electronics and Communication

    Hyderabad Institute of Technology and Management (2020)
  • High School, M.P.C.

    Gitam Junior College (2016)
  • School, C.B.S.E.

    Atomic Energy Central School - 2 (2014)

Certifications

  • R programming - coursera, issued may 2020, credential id: h6w5aatpwqbl

  • Neural networks and deep learning - coursera, issued may 2020, credential id: h8zpse5sdv7p