Mallory Wang
About Mallory Wang
Mallory Wang is an experienced analyst currently working at Medallia and the Massachusetts Institute of Technology (MIT). She has a background in quantitative analysis and has held positions at Fantex and Uber since beginning her career in 2007.
Current Role at Medallia
Mallory Wang serves as an Analyst at Medallia, where she has worked since 2014. Her role involves analyzing data to provide insights that drive customer experience improvements. Medallia is known for its customer experience management platform, which helps organizations capture and act on feedback from customers. Wang's expertise contributes to the company's mission of enhancing customer engagement through data-driven strategies.
Experience at Uber
Since 2016, Mallory Wang has been employed at Uber as a Data Analyst. In this position, she focuses on leveraging data analytics to inform business decisions and optimize operational efficiency. Uber is a leading technology company that revolutionizes transportation and delivery services. Wang's analytical skills play a crucial role in supporting the company's data-driven initiatives.
Previous Role at Fantex
Mallory Wang worked as a Quantitative Analyst at Fantex from 2015 to 2016 for a duration of nine months. In this role, she applied quantitative methods to analyze financial data and market trends. Fantex was known for its innovative approach to financial products related to athlete performance. Wang's experience at Fantex provided her with valuable insights into the intersection of finance and analytics.
Research Associate at MIT
Wang has been a Research Associate at the Massachusetts Institute of Technology (MIT) since 2013. In this capacity, she engages in research projects that require advanced analytical skills and methodologies. MIT is renowned for its emphasis on technology and innovation, and Wang's role supports various academic and research initiatives within the institution.
Educational Background
Mallory Wang studied at the Massachusetts Institute of Technology (MIT) from 2013 to 2014, where she focused on advanced analytical techniques. Prior to that, she earned a Bachelor of Science in Statistics and a Bachelor of Arts in Political Science from UCLA, completing her studies from 2007 to 2012. Her educational background provides a strong foundation for her analytical work in various roles.