Giuliano Janson's professional experiences have centered on advanced analytics and applied machine learning in healthcare. His work is primarily focused on extracting information from large, dirty, and noisy data utilizing machine learning, stats, Monte Carlo simulation, and data visualization to identify business opportunities and help leadership make data-driven decisions through actionable analytics.

Zacharias Voulgaris is a data scientist and technical author specializing in data science books. He has an engineering and management background, with post-graduate studies in information systems and machine learning. Zacharias has worked as a research fellow in Georgia Tech, investigating and applying machine learning technologies to real-world problems, as an SEO manager in an e-marketing company in Europe, as a program manager in Microsoft, and as a data scientist in US Bank and G2 Web Services.

Dr. Voulgaris has also authored technical books, the most notable of which is Data Scientist: The Definitive Guide to Becoming a Data Scientist, Technics Publications, and is currently working on Julia for Data Science, Manning Publications. He has also written a number of data science-related articles on blogs and participates in various data science/machine learning meet-up groups. Finally, he has provided technical editorial aid in the book Python Data Science Essentials, Packt Publishing, by the same authors as this book.