Andrew Shao

Andrew Shao

Associate @ Fannie Mae

About Andrew Shao

Andrew Shao is an Associate at Fannie Mae in the United States, with a background in statistics from the University of Virginia and various internships in digital strategy and data analysis.

Current Role at Fannie Mae

Andrew Shao currently holds the position of Associate at Fannie Mae in the United States. He started his role in January 2021 and has been contributing to the company's goals since then. The role involves working on various financial projects and data analysis tasks that support Fannie Mae's mission.

Previous Experience at Fannie Mae

Before becoming an Associate, Andrew Shao worked as a Business Analyst Intern at Fannie Mae. This internship took place in the Washington D.C. Metro Area in 2020 for one month. During this time, he garnered experience in business analysis, gaining insights into the inner workings of financial data and market trends.

Internship at SHINE Systems

In 2019, Andrew Shao interned at SHINE Systems in the Charlottesville, Virginia Area for two months. During his tenure, he was involved in data analysis projects, contributing to the company's operational efficiencies and decision-making processes. This role helped him develop technical skills relevant to data analytics and business intelligence.

Launch Digital Strategy Fellowship at HackCville

Andrew Shao participated in a Launch Digital Strategy Fellowship at HackCville in 2018. For three months, he focused on digital marketing and strategy, enabling him to understand better the intricacies of online business strategies and customer engagement. This experience provided him with valuable skills in digital marketing techniques and strategic planning.

Educational Background

Andrew Shao graduated with a Bachelor of Arts (BA) in Statistics from the University of Virginia, where he studied from 2017 to 2021. He also attended Maggie L. Walker Governor's School from 2013 to 2017, graduating with a high GPA of 4.3. His educational background laid a strong foundation in statistical analysis and data interpretation, crucial for his professional roles.

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