My experience spans various domains, including statistics and biostatistics. I have gained valuable hands-on experience through internships at Henry Ford Health's Biostatistics Unit and the Department of Epidemiology and Medical Statistics at the University of Ibadan. Additionally, I served as a graduate assistant, where I excelled in assessing student performance, maintaining data integrity, and providing instructional support.My project portfolio encompasses diverse topics, such as stress assessment using machine learning algorithms, heart disease prediction using comparative binary classification methods, and the application of mixed models to investigate the association between maternal gestational diabetes mellitus and offspring adiposity. My experience extends to statistical tools such as R, SAS, and Python.With a strong foundation in statistics, and a commitment to continuous learning, I am well-positioned to contribute to data-driven decision-making and research in the field of public health and beyond.I am open to positions related to my field.