Career Summary: I am an experienced Software QA Analyst with expertise in manual testing, including functional, regression, integration, and user acceptance testing (UAT). With a strong understanding of SDLC and STLC, I have successfully contributed to ensuring high-quality software deliverables. My expertise includes creating detailed test plans, test cases, and defect reports, leveraging tools such as HP ALM, Bugzilla, and Postman to streamline the testing process. I have worked on high-impact projects like Dish 2.0 and Spectrum Mobile, ensuring optimal performance and reliability. Additionally, I have expanded my skill set in data analysis, working with Python, SQL, Power BI, and Tableau to analyze complex datasets and derive meaningful insights. Through hands-on projects like Zomato Restaurant Rating Analysis, Netflix Data Analysis, and BigMart Data Analysis, I have applied data cleaning, visualization, and analytical techniques to drive data-driven decision-making. Career Goals: I aim to leverage my expertise in software testing and data analysis to contribute to innovative projects, ensuring software quality and data-driven insights. I am keen on enhancing my skills in automation testing and machine learning to stay ahead in the evolving tech landscape. My goal is to bridge the gap between software quality assurance and data analytics, helping organizations optimize both product performance and business decisions.