Computer Science (AI) student with hands-on experience in machine learning, data preprocessing, and predictive modeling. Skilled in Python, visualization, and model development, with applied work in user analytics, healthcare case studies, and biomedical AI projects such as blood pressure estimation from PPG signals and respiratory disease classification. Interested in advancing expertise in AI, MLOps, and biomedical applications to solve real-world challenges through data-driven solutions.