Premanand Tiwari is a highly accomplished Applied Data Scientist at Amazon, with over 16 years of experience spanning artificial intelligence, machine learning, and data analytics in both industry and healthcare research. At Amazon, Prem leads the several areas of research within North America Transportation science team, pioneering advanced machine learning models that automate and optimize the logistics process. His innovations have enabled Amazon to achieve operational excellence and accurate planning cycles. Prem’s scalable solutions and cross-functional leadership have streamlined the planning cycles, improved customer and vendor experiences. Prior to Amazon, Prem made significant contributions as a Data Scientist at the University of Colorado Anschutz Medical Campus, where he led research projects applying deep learning and predictive analytics to improve healthcare outcomes. His work included developing models for predicting COVID-19 severity, atrial fibrillation, and patient health trajectories, as well as implementing natural language processing for clinical notes.
Prem’s research is characterized by innovation, interdisciplinary collaboration, and a strong publication record, establishing him as a leader in leveraging data science for societal and business impact. His research profile is distinguished by a robust blend of academic rigor and real-world impact across both technology and healthcare domains. His research expertise centers on artificial intelligence, machine learning, deep learning, and data analytics, with a proven ability to translate advanced methodologies into scalable, high-impact solutions.