Avishek Nag has been an analytics practitioner for several years, specializing in statistical methods, machine learning, natural language processing (NLP), and quantitative finance. He has experience designing end-to-end machine learning systems and leading data science and machine learning initiatives from inception to production across multiple organizations, including Cisco, VMware, and MobileIron. Additionally, he has several years of experience as a quantitative finance practitioner in the commodity trading domain. He is the author of books on stochastic finance, machine learning, and survival analysis.

Beyond his professional work, he is a passionate artist who enjoys exploring architectural drawings with pencil and ink.