Hi, Myself...

Nikita Bhaise

& I'm a

Proficient in both manual and automated testing, with 2+ years of expertise in UI validation, integration testing, API/backend verification, and database testing. Experienced in designing and implementing efficient test automation frameworks to improve software quality. Hands-on experience with tools and platforms such as Salesforce, Tosca, MySQL, and MuleSoft. Strong background in Salesforce testing, MuleSoft integrations, and Workday test automation using the Tosca platform

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Niki

About Me

Full Stack QA Engineer

Hey! I’m Nikita Bhaise β€” a passionate tech explorer who recently completed my engineering journey πŸ‘¨β€πŸŽ“πŸš€ at Dr. D.Y. Patil Institute of Technology, Pimpri, Pune. With a strong foundation in both Fullstack QA Engineering πŸ‘¨β€πŸ’» and Enterprise Application Testing πŸ’»βœοΈ, I thrive on building and breaking things (in the best way possible) to ensure flawless digital experiences.
πŸ”§ I bridge the gap between quality and performance, combining deep technical know-how with a sharp eye for detail.
But hey β€” life’s not all code! 🎨 I’m also into drawing, love going on adventures, and enjoy reading to keep my curiosity alive.
Let’s connect, collaborate, and create something incredible!

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Skills

Duration:2 Years

Experience: MySQL, MongoDB, Oracle

Duration:1 Years

Experience: Google Cloud Platform

Duration:2 Years

Experience: Java, Javascript, Python

Duration:1 Years

Experience: ReactJS, Node.js, Spring Boot

Duration:1 Years

Experience: Maven

Duration:2 Years

Experience: Windows, Ubuntu, GitHub, JIRA, QTest, TOAD, Salesforce, MuleSoft, TOSCA, MS Ofce, Power BI

Duration:2 Years

Experience: VS Code, Jupyter Notebook, Google Colab, Eclipse, IntelliJ IDE

My Certification

Tricentis Tosca Fundamentals - Automating web application testing (AS1)

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Tricentis Tosca Fundamentals - Optimizing test automation with centralized test data (AS2)

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Tricentis qTest Deep Dive - qTest project creation & qtest Explorer

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Latest Projects

Emotion Based Music Player's UI

Emotion based Music Recommendation System Using CNN

Technologies:Python, Anaconda, SQLite, Spyder IDE

medical-Webproject's UI

Medical Management System

Technologies: Java, HTML & CSS, JavaScript, MySQL

Tic-Tac-Toe-Game's UI

Tic-Tac-Toe-Game

Technologies: JavaScript, HTML & CSS

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