Professor of Data Science and Capital Markets

I have a strong background in data science and capital markets, with extensive experience in developing quantitative investment models and analytical tools. Over the years, I have built innovative solutions in Python, R, SQL, Tableau, and other platforms, integrating machine learning techniques to enhance trading strategies and portfolio management. My work in quantitative finance and legal tech has allowed me to streamline data infrastructure and improve processing efficiency.

I am passionate about delivering clear, actionable insights through my research and teaching. I continuously refine my skills to drive value in financial and technological environments, ensuring that my analytical approach supports sustainable results.