Hi! I'm James, a dedicated Data Science graduate student at Northwestern University with a strong foundation in Actuarial Science from the University of Illinois at Urbana-Champaign. My journey began in the analytical realm of actuarial studies, where I honed my quantitative skills and developed a keen interest in the power of data to drive decisions and innovations. This passion led me to pivot towards data science, a field where I could further explore and leverage my skills in Python, R, SAS, and SQL to uncover insights and create impactful solutions.

With professional experience as a Benefits Business Analyst and Data Quality Analyst, I've applied my technical expertise to automate processes, manage data quality, and analyze complex datasets, delivering tangible benefits to my employers. My projects have ranged from developing automated tools for data management to conducting in-depth analyses that informed strategic decisions.

What excites me most is the potential to use machine learning and deep learning to solve real-world problems. I'm particularly interested in projects that push the boundaries of what's possible with data, whether it's improving business processes, driving technological innovation, or contributing to groundbreaking research.

As I continue my academic and professional journey, I am eager to collaborate with like-minded individuals and organizations on machine learning or deep learning projects. My goal is to not only contribute my skills and knowledge but also to grow and learn from each collaboration, driving forward the field of data science.