I am currently a third-year Ph.D. student in Statistics at Bowling Green State University, Ohio. My research interests lie at the intersection of predictive analytics, machine learning, and causal inference, with applications in healthcare, digital finance, education, and population health. Prior to my Ph.D., I earned a Master of Science in Mathematics and a Graduate Certificate in Applied Statistics from Purdue University Fort Wayne, as well as a Bachelor of Science in Statistics from the University of Abuja, Nigeria. I have gained hands-on experience as a data scientist, data analyst, and educator in both U.S. and international contexts. My peer-reviewed publications span topics such as AI-powered healthcare modeling, credit risk analysis, supply chain optimization, and educational data mining. Alongside research, I am passionate about teaching and mentoring undergraduate students, contributing to academic success and retention. I am a member of the American Mathematical Society and formerly of the American Statistical Association. I am committed to leveraging data science and statistical methodologies to develop impactful, equitable solutions to complex real-world problems