I am currently an intern working as a Model Risk Quant Associate in the Model Risk Management Division at Morgan Stanley. My primary responsibility is validating models to ensure their accuracy, reliability, and compliance, utilizing my programming expertise in Python, R, and SQL. This role has enabled me to apply my technical skills to assess and improve the robustness of financial models.I am nearing the completion of my PhD in Artificial Intelligence for Healthcare from IIT Madras. Throughout my research, I have gained extensive knowledge in AI and machine learning, particularly in the healthcare domain. I am proficient in Python and R, and I have a strong command of data science libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, PyTorch, and TensorFlow. My skill set also includes experience with data analysis and visualization tools like Microsoft Excel and Power BI.In addition to my PhD, I hold an M.Tech from IIT Kharagpur, which has provided me with a solid foundation in technology and analytics. I am passionate about leveraging my skills to solve real-world problems in both the banking and financial sector, as well as the healthcare industry. My goal is to deliver data-driven solutions that can have a significant impact in these critical areas.