Bhumika Shah is an accomplished Engineer, PhD Scholar, and Professor based in Connecticut, specializing in AI, Data Engineering, and Information Governance. With a passion for innovation in data engineering, she has over seven years of experience designing scalable data pipelines, enhancing data governance, and developing AI-driven predictive models that drive efficiency and transformation in healthcare, insurance, and other regulated industries.
Her work has been published in various peer-reviewed journals and she is a strong advocate for leveraging AI and data engineering to enhance regulatory compliance and operational efficiency. Her work focuses on developing intelligent systems that improve data integrity, automate compliance processes, and support decision-making in high-stakes environments.
As a professor at Post University, she designed and taught a graduate-level Data Management course, equipping students with hands-on expertise in data governance, SQL, and cloud-based data engineering. She actively mentors master’s students, helping them bridge the gap between academic theory and real-world industry challenges.
Currently pursuing a PhD in Information Technology at the University of the Cumberlands, Bhumika continues to advance research in big data analytics, business intelligence, and AI applications in healthcare. She is committed to leveraging data-driven insights for innovation, regulatory excellence, and improved decision-making across industries.