Ashley Nemeth
About Ashley Nemeth
Ashley Nemeth is a Senior Business Intelligence Engineer at Credit Karma, where she has worked since 2021. She holds multiple degrees in Mathematics and Statistics and has extensive experience in data analysis across various industries, including fintech, automotive, and education.
Work at Credit Karma
Ashley Nemeth has been employed at Credit Karma since 2019. Initially serving as a Business Intelligence Analyst II for two years, she transitioned to the role of Senior Business Intelligence Engineer in 2021. In her current position, she focuses on leveraging data to drive business decisions and improve user experiences. Her work involves advanced statistical analysis and the application of various data tools to support Credit Karma's mission in the fintech sector.
Education and Expertise
Ashley Nemeth holds multiple degrees in mathematics and statistics. She earned a Master of Science (M.S.) in Statistics from Rutgers University-New Brunswick, completing her studies from 2012 to 2014. Prior to that, she obtained a Master of Arts (M.A.) in Mathematics from Villanova University, where she studied from 2010 to 2011. Additionally, she completed her Bachelor of Science (B.S.) in Mathematics at Villanova University from 2006 to 2011. Her educational background equips her with strong analytical skills applicable in various industries, including fintech, automotive, and education.
Background
Ashley Nemeth has a diverse professional background in data analysis and business intelligence. Before joining Credit Karma, she worked at Sonic Automotive, where she served as a Data Analyst in Financial Planning and Analysis (FP&A) from 2015 to 2017 and later as a Senior Data Analyst from 2017 to 2019. She also gained experience at Educational Testing Service (ETS) as a Senior Statistical Assistant from 2011 to 2015. Her career has been marked by a strong focus on statistical data analysis and information technology.
Skills and Technical Proficiencies
Ashley Nemeth possesses a range of technical skills essential for her roles in business intelligence and data analysis. She is proficient in statistical data analysis and has expertise in programming languages and tools such as SQL, SAS, and R. These skills enable her to effectively analyze complex datasets and derive actionable insights, contributing to her success in the fintech and automotive sectors.