Xinyue (Sara) Ma

Xinyue (Sara) Ma is a dedicated M.S. student in Quantitative and Computational Finance at Georgia Tech, with a strong background in finance from the University of Science and Technology of China.

She is an adept data scientist and machine learning engineer with a keen interest in predictive modeling and tackling intricate financial data challenges.

Xinyue excels in statistical analysis, programming, and has hands-on experience in big data for three years, along with academic exposure to various facets of finance and machine learning.

Her expertise lies in data science, machine learning, and quantitative analysis, with a continuous drive for self-improvement and a penchant for exploring new technologies.

Xinyue specializes in providing quantitative solutions for informed business decision-making through data wrangling and modeling, focusing on portfolio management, risk modeling, securities investment, cryptocurrency, and financial instruments valuation.

She is well-versed in a robust tech stack covering data visualization, data cleaning, machine learning, SQL, data warehousing, data engineering, and general competencies like programming, Microsoft Office, data structures & algorithms, and statistics.

With a solid educational background and a wealth of experience in organizations such as STEM-Away, iMAR Entertainment, and Cheers Financial Institute, Xinyue Ma is a capable professional ready to tackle challenging data-driven projects.

Connect with Xinyue at xinyue.ma@gatech.edu and explore her projects on Github to delve deeper into her impressive portfolio.