06/17/2026
Graduate Spotlight: Sri Kavya Penta, M.S. ’26, Information Systems
Sri Kavya Penta is an Information Systems graduate passionate about Data Analytics, Artificial Intelligence, Machine Learning, and Human-Centered Computing. During her time at UMBC, she explored the intersection of technology, research, and education through her work as a Teaching Assistant, researcher, and published scholar.
Her research contributions include studying AI-assisted qualitative coding in online learning and exploring data-driven approaches to understanding computing education. She has published two research papers, presented her work at academic forums, and completed her master’s thesis focused on evaluating AI applications in educational settings.
Sri Kavya’s technical expertise includes Python, SQL, Machine Learning, AI, statistical analysis, data visualization, database management, clustering, PCA, predictive modeling, Power BI, Tableau, and Excel. Beyond technical skills, her experiences in research, teaching, and presentations have strengthened her ability to communicate complex ideas and create meaningful data-driven solutions.
She is passionate about leveraging AI and analytics to solve real-world business challenges and is currently exploring opportunities in Data Analytics, Business Intelligence, AI/ML, Data Science, and Business Analysis.
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[ UMBC, Information Systems, Artificial Intelligence, Data Analytics, Machine Learning, Human-Centered Computing, Data Science, Business Intelligence, Research, Python, SQL ]