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anandavii/README.md

Hi, I'm Abhishek 👋

I specialize in building scalable test automation frameworks for UI and API testing, integrating quality into CI/CD pipelines, and driving shift-left strategies in Agile teams. My passion lies in creating robust, maintainable solutions that accelerate release cycles and improve software quality. I bring a blend of hands-on technical expertise and business-focused testing strategies to every project.

💡 What I'm into:

  • Designing automation frameworks and tools that scale
  • Driving quality-first development with BDD/TDD approaches
  • Collaborating across teams to ship reliable, high-performing software

🧠 Currently Learning:

  • AI-assisted testing for intelligent defect prediction and test case generation
  • Autonomous test maintenance to reduce flakiness and improve stability
  • Visual regression testing and self-healing frameworks

🤝 Let's Connect:
I'm always excited to connect with fellow engineers, QA professionals, and tech enthusiasts to discuss automation, quality engineering, and emerging trends in software testing. Whether it's sharing insights, exploring collaborations, or just talking shop-feel free to reach out!

📬 Reach me at: Email | LinkedIn | Portfolio

⚡ Fun fact: Outside of tech, I love experimenting in the kitchen and exploring new cuisines, just like debugging code, only tastier!

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  1. ecommAutomation ecommAutomation Public

    Selenium + Java + Cucumber + TestNG + Allure + Docker + Selenium Grid. --A scalable test automation framework for an eCommerce web application. Built with Java, Selenium WebDriver, and Cucumber BDD…

    Java 2

  2. FIFA21_data_cleaning_python FIFA21_data_cleaning_python Public

    This GitHub repository contains Python code to clean and enhance the FIFA21 dataset sourced from Kaggle. With Pandas, we standardized formats, corrected data types, and handled missing values. The …

    Jupyter Notebook 1

  3. IMDB_Movie_Cleaning_Python IMDB_Movie_Cleaning_Python Public

    This project involves cleaning and enhancing a comprehensive movie dataset from Kaggle using Python and Pandas. The dataset includes 85,855 entries with 22 attributes. The primary goal is to handle…

    Jupyter Notebook 1

  4. dataAnalysisNLSY dataAnalysisNLSY Public

    This project analyzes the NLSY97 dataset using R to explore the gender income gap through EDA, statistical modeling, and regression. It includes handling of missing/topcoded data, visual storytelli…

    HTML 1