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Video meeting . 15 mins
5
Resume review
Resume review
Video meeting . 30 mins
Career guidance
Struggling to find your career path in the tech industry?
Video meeting . 60 mins
5
Mock interview
upcoming job interview and want to feel confident
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1:1 Mentorship
1:1 Mentorship
Video meeting . 30 mins
5
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Crack SDET interview with ease
Package . 3 products
SDET Interview Preparation guide
SDET Interview Preparation guide
Interview prep & tips
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Mock interview
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Resume review
Video Meeting
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About me
Experienced SDET Manager with expertise in software testing and quality assurance, specializing in leading teams, effectively distributing tasks, and building automation frameworks from scratch. My expertise lies in designing and developing automation scripts using C# and Java, along with utilizing frameworks such as Selenium, Appium, SikuliX, Rest Assured, ReadyAPI, UiPath, Windows Application Driver, TestNG, MSTest, NUnit, and xUnit. I have successfully built automation test frameworks from scratch, incorporating methodologies like Data Driven, Keyword Driven, BDD, Hybrid Driven, and following the principles of the Page Object Model and OOP.
My commitment to excellence in quality assurance has been recognized through the prestigious award of Quality Engineer of the Year by Whatfix. I am well-versed in front-end automation for a wide range of applications, including web, Windows, mobile, and hybrid platforms.
As a skilled quality assurance professional, I excel in writing automation tests, GUI, system, functional, and non-functional testing, as well as load testing, stress testing, defect tracking, and root cause analysis. I am well-acquainted with Agile methodologies, test strategy and planning, requirement analysis, regression testing, and UAT testing.
In addition, I have hands-on experience with tools like Jenkins, Azure DevOps, and possess a solid foundation in HTML, CSS, and JavaScript.
Furthermore, I have expanded my knowledge and research capabilities as a trainee at CDAC, Kolkata. During my time there, I designed and developed a mathematical model that predicts a Tea Taster's Score from Tea Liquor Images, enabling the prediction of tea prices.
Publication: https://link.springer.com/chapter/10.1007%2F978-981-15-2188-1_36