Sandeep Kumar specializes in machine learning, deep tabular learning, and predictive analytics. He completed his Ph.D. in Computer Science from South Asian University, New Delhi, where his doctoral research focused on instance selection and weight optimization for efficient transfer learning. Professionally, he has built a diverse global profile, serving as a Postdoctoral Scholar at The University of Tennessee Health Science Center, USA, and as a Research Engineer at the Université de Bourgogne, France. He also brings valuable industry experience from his tenure as a Data Scientist. His research bridges novel machine learning methodologies with high-impact applications, including genomic data bias mitigation, time-series forecasting, and macroeconomic modeling.