Dedicated AI/ML enthusiast with hands-on experience in various ML projects. Proficient in data analysis, preprocessing, and visualization using tools like Matplotlib and Seaborn. Skilled in assessing model performance and documenting findings. Strong proficiency in Microsoft Word, Excel, and Python for machine learning.Currently leading an innovative project that aims to advance ankle ligament injury diagnosis. We are achieving this by creating 3D models from Magnetic Resonance Images (MRI) and applying machine learning techniques. This project involves a comprehensive study of various tools, including Python, Scikit-Learn, and Computer Vision, to ensure accurate and efficient diagnosis methods for ankle injuries.Additionally, I serve as a proactive T&P Coordinator at PCCOE, effectively collaborating with Faculty Coordinators to organize on-campus placement drives. Recognized for teamwork, leadership, and creative problem-solving skills. Proficient in event management and sales management.Previous experience as a Data Science Intern at Oasis Infobyte, gaining expertise in data cleaning, visualization, and feature selection, along with hands-on experience in Python and data science libraries like Pandas, Numpy, and Scikit-learn.Outside of work, I have a deep passion for music, finding solace and inspiration in its melodies. I also have an adventurous spirit and a love for travel, which allows me to explore new cultures and broaden my horizons.