Emma Keenum
About Emma Keenum
Emma Keenum serves as the Director of Data Science at Protective Life, where she has worked since 2013. She holds a Master of Science in Applied Statistics and a Bachelor of Science in Quantitative Finance, both from The University of Alabama.
Work at Protective Life
Emma Keenum serves as the Director of Data Science at Protective Life, a position she has held since 2013. In this role, she oversees data-driven initiatives and strategies that support the company's operations and decision-making processes. Her work involves leveraging data analytics to enhance business performance and improve customer experiences. Based in Birmingham, Alabama, Protective Life is known for its commitment to providing financial security through various insurance products.
Education and Expertise
Emma Keenum earned her Master of Science (M.S.) in Applied Statistics from The University of Alabama, completing her studies from 2008 to 2013. Prior to that, she obtained a Bachelor of Science (B.S.) in Quantitative Finance from the same institution, studying from 2008 to 2012. Her educational background equips her with a strong foundation in statistical analysis and financial modeling, which are essential in her role in data science.
Background
Emma Keenum's academic journey began at The University of Alabama, where she pursued dual degrees in Applied Statistics and Quantitative Finance. Her studies spanned a total of nine years, during which she developed a comprehensive understanding of data analysis and financial principles. This background has been instrumental in her career progression, particularly in her current leadership role in data science.
Professional Experience
Emma Keenum has accumulated over a decade of professional experience in data science since her graduation. Her tenure at Protective Life reflects her commitment to the field and her ability to apply her academic knowledge to real-world challenges. As Director of Data Science, she plays a critical role in shaping the company's data strategy and ensuring the effective use of data analytics across various departments.