Kevin Kiernan
About Kevin Kiernan
Kevin Kiernan is a Data Science Associate at Fannie Mae with a background in financial analysis and research from his previous roles at the Federal Reserve Board.
Title
Kevin Kiernan is a Data Science Associate at Fannie Mae.
Company
Kevin Kiernan is currently employed at Fannie Mae, where he has been working as a Data Science Associate since June 2021.
Previous Roles and Experience
Before joining Fannie Mae, Kevin Kiernan worked at the Federal Reserve Board in Washington, D.C. He served as a Financial Analyst from 2020 to 2021 for 11 months, and as a Senior Research Assistant from 2018 to 2020 for 2 years. During his tenure, he was involved in financial analysis and research projects.
Education and Expertise
Kevin Kiernan has a strong academic background. He earned a Master of Science in Statistics from The George Washington University, studying from 2018 to 2020. He also holds a Bachelor of Arts in Economics and Mathematics from Yale University, where he studied from 2014 to 2018. His advanced statistical skills and solid understanding of economics and mathematics underpin his professional capabilities.
Background
Kevin Kiernan's background reflects a strong foundation in both economics and data science. His undergraduate studies at Yale University focused on Economics and Mathematics, while his Master's degree from The George Washington University concentrated on Statistics. This combination of education and experience in prestigious institutions and organizations like the Federal Reserve Board has equipped him with a robust skill set in financial analysis and statistical research.