Turning raw educational data into meaningful insights requires more than just technical expertise—it takes a strategic approach to analytics. Nihil Kottal, a Data Science MS student at Rutgers Graduate School-Camden, has developed EduMetric Solutions, a Power BI tool designed to streamline data analysis in higher education. By integrating datasets from the Bureau of Labor Statistics,… continue reading
Diabetic retinopathy (DR) is a leading cause of blindness among diabetic patients. Early detection is crucial to prevent severe visual impairment. In the paper “Detection of Diabetic Retinopathy using Deep Learning,” published in the proceedings of the 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), Kenil Patwa, a graduate student in the Data… continue reading
Growing up in Kenya and trained in applied mathematics, Beryl Ochieng first entered the world of data through her work with national vital-statistics records. Seeing how gaps in information affected real decisions pushed her toward further study, a direction that led her to Rutgers–Camden, where she is completing her Master of Science in Data Science…. continue reading
What if tackling health disparities could start with better data? Through the Urban Innovation Fund—a collaboration among university researchers and community organizations—Rutgers–Camden has committed $400,000 to transformative projects that directly benefit Camden. One such initiative, the Camden Health Equity and Digital Education Initiative, is developing a web-based platform to provide real-time, accessible health data for… continue reading
Artificial intelligence (AI) is reshaping state governance, with AI-related legislation skyrocketing from just over 200 bills in 2023 to nearly 700 in 2024. Ojobo Agbo Eje, a Data Science MS student at Rutgers University-Camden, collaborated with co-authors on The State AI Preparedness Project, a publication developed through the New Jersey State Policy Lab. This publication… continue reading
Data science, geographic analysis, and applied research converge in the graduate work of Athang Sanjeev Bhandarkar, a master’s student in Data Science at Rutgers-Camden. Through hands-on research using Geographic Information Systems, he has examined the happiness index of Cali, Colombia, analyzing how factors such as crime, air quality, and spatial conditions shape social outcomes. Grounded… continue reading
