Likhitha Marrapu completed her MS in Data Science at Kent State University, where she developed a strong foundation in mathematics, statistics, and applied statistics. Her area of focus includes machine learning, deep learning, natural language processing, and data-driven decision in the health and social impact domains. She has co-authored and published research on deep learning models for blood cell classification in the Springer Nature’s FICC 2025 series and completed applied projects in sentiment analysis, time-series forecasting, and business-intelligence. Likhitha is passionate about working with real-time tactical data to generate actionable insights that support evidence-based decisions to create meaningful change in the world.