About the reviewers

Romain Picard is currently a data science engineer. He has been working in the digital TV and telecommunications industry for 20 years. His daily work consists of data manipulation, machine learning model training, and model deployment. Most of these tasks are based on Python code.

He was previously a media software architect and a software developer. In these previous positions, he designed and developed TV and OTT players that have been used in millions of set-top boxes. Romain is especially interested in algorithms, and is constantly hunting for the most effective algorithm for each given use case.

Yogendra Sharma is a developer with experience of the architecture, design, and development of scalable and distributed applications. He was awarded a bachelor's degree from Rajasthan Technical University in computer science. With a core interest in
microservices and Spring, he also has hands-on experience with technologies such as AWS Cloud, Python, J2EE, Node.js, JavaScript, Angular, MongoDB, and Docker. Currently, he works as an IoT and cloud architect at Intelizign Engineering Services, Pune.

Simone Marzola is a software engineer and technical lead with 10 years of experience. He is passionate about Python and machine learning, which have led him to be an active contributor in open source communities such as Mozilla Services and the Pylons Project, as well as involvement in European conferences as a speaker. Simone has been a lecturer on the BIG DIVE data science and machine learning course. He is currently a CTO and Scrum Master at Oval Money.