As a machine learning intern at HP, I developed a sophisticated machine learning model that achieved outstanding 95% accuracy in predicting real estate property prices, based on a comprehensive and in-depth analysis of various market factors. I used Python, Scikit-Learn, NumPy, Pandas, and Matplotlib as my tech stack, and I shared my code and results on GitHub. I strengthened decision-making for real estate professionals and investors, enhancing market transparency and efficiency. I am currently pursuing my Bachelor of Technology degree in Engineering at National Institute of Technology Durgapur, where I am expected to graduate in May 2024. I am passionate about applying machine learning to solve real-world problems, and I have gained skills and experience in MERN stack, quantum machine learning, and Django through various projects and courses. I am eager to learn more and contribute to the field of machine learning, and I am looking for opportunities to collaborate with other developers and researchers.