James Momoh is a highly analytical Data Scientist and Researcher currently pursuing a Ph.D. in Information Systems (specializing in Healthcare Information Systems) at Dakota State University, where he previously earned his Master’s in Data Analytics with a perfect 4.0/4.0 GPA. Rooted in a strong quantitative background with a Bachelor’s in Mathematics and a National Mathematics Competition bronze medal, James possesses a robust technical toolkit. He specializes in advanced statistical modeling, predictive analytics, and machine learning using Python, SQL, R, and specialized libraries like Scikit-learn and TensorFlow. A certified Power BI Data Analyst, he excels at translating complex datasets into interactive, actionable dashboards using Tableau and Power BI to optimize business metrics and institutional strategies. James’s professional career is marked by impactful data roles across the healthcare, telecommunications, and e-commerce sectors. As an Intern Informatics Analyst at Avera Health, he resolved over 95% of stakeholder data tickets and audited massive clinical and billing datasets for revenue integrity, while his tenure at Midco as a Network Data Analyst Intern leveraged SQL and Tableau to drive a 10% improvement in network reliability. Currently a Research Assistant at DSU focusing on NLP and data mining of AI job trends, James is a proven problem solver, recognized as the First Runner-Up in the DSU & Sanford Health Data Analytics Competition. He is uniquely positioned to deliver data-driven optimization, automation, and predictive clarity to forward-thinking analytics teams.