Deep Kayal is a Senior Data Scientist at Elsevier, specializing in Natural Language Processing and Machine Learning, with several years of relevant experience in algorithm development and overall product development. He is familiar with the engineering concepts related to analytics as well as knowledge of various machine learning algorithms, and specializes in deployment of machine learning models and pipelines at scale. Besides his work at Elsevier, he is currently a part-time researcher at Erasmus MC in Rotterdam, exploring machine learning techniques for biomedical image analysis. He holds a MSc degree in Machine Learning from Helsinki University of Technology, Finland, and has also published several research papers and patents.