I'm Howard(Sheng-Hau) Peng, a recent graduate from the University of Chicago with a Master's degree in Statistics, and a prior Bachelor's degree in Mathematics from National Taiwan University. My academic and professional journey has honed my expertise in quantitative analysis, statistical modeling, and applications in econometrics and quantitative finance. I am skilled in data analysis, visualization, machine learning, and programming languages including Python, R, and SQL.
During my professional career, I developed advanced statistical models and automated data processes to enhance financial strategies, which significantly improved trading efficiency and risk management. I have a proven track record in optimizing marketing strategies, improving customer experiences, and driving business growth through data-driven insights.
I am eager to apply my skills and knowledge in a role that offers opportunities for impactful contributions and continuous professional growth. If you’re interested in discussing data science or potential collaborations, please reach out via LinkedIn or email.