Mohamad A. Abdullghani
About Mohamad A. Abdullghani
Mohamad A. Abdullghani is a Senior Audit Data Analyst at Fannie Mae, specializing in risk assessment and mitigation strategies with over five years of experience in audit data analysis.
Current Role at Fannie Mae
Mohamad A. Abdullghani serves as a Senior Audit Data Analyst at Fannie Mae, operating in the Washington DC-Baltimore Area. In this role, he specializes in developing key risk indicators that significantly improve the accuracy of risk assessments. His responsibilities also include innovating and implementing risk mitigation strategies using advanced data analysis techniques.
Previous Experience at Blue Cross Blue Shield of Michigan
Prior to joining Fannie Mae, Mohamad A. Abdullghani worked at Blue Cross Blue Shield of Michigan as an Audit Analyst for five years, from 2016 to 2021. Based in Detroit, Michigan, he honed his skills in audit data analysis and played a crucial role in various auditing projects, focusing on risk assessment and mitigation.
Early Career at Total Management Recovery Services
From 2014 to 2016, Mohamad A. Abdullghani worked as a Bookkeeper at Total Management Recovery Services in Detroit, Michigan. During his tenure, he gained foundational experience in accounting, which later contributed to his proficiency in audit analysis and data management.
Educational Background
Mohamad A. Abdullghani has a solid educational background in Business and Accounting. He earned a Master of Business Administration (MBA) in Business Data Analysis from Central Michigan University. Additionally, he holds a Bachelor of Science (BS) in Accounting from Wayne State University, completed between 2015 and 2017. He also received an Associate of Science (AS) degree in Accounting from Oakland Community College, where he studied from 2011 to 2015.
Specialization and Expertise
Mohamad A. Abdullghani specializes in audit data analysis, focusing on the development of risk hypotheses and testing steps. With over five years of experience in the field, he is well-versed in creating key risk indicators and leveraging extensive training to enhance risk mitigation strategies. His innovative approach to data analysis has contributed significantly to the success of risk mitigation efforts at Fannie Mae.