James Beveridge is a product analyst and machine learning specialist. He earned his BS degree in mathematics from Cal Poly, San Luis Obispo, CA. He has worked with the finance and analytics teams in technology and marketing companies in the Bay Area, Chicago, and New York. His current work focuses on segmentation and classification modeling, statistics, and product development. He has enjoyed contributing to this book as a technical reviewer.
Philipp Deutsch obtained degrees in mathematics and physics from the University of Vienna and the Vienna University of Technology before starting a career in financial services and consulting. He has worked on a number of projects involving data analytics across Europe, both in the banking and consumer/retail sectors, and has extensive experience in Python, R, and SQL. He currently lives in London.
Jon Gaither is a senior information systems student at Clemson University with a background in finance. He started learning Python during his sophomore year of college. Since then, he has dabbled in frameworks such as Flask, Django, and pandas purely out of interest. Outside of Python, Jon has studied Java, SAS, VBA, and SQL. His professional experience comes from internships in financial services and satellite communications.
Jim Holmström is soon to graduate with a bachelor's degree in engineering physics and a master's degree in machine learning from KTH Royal Institute of Technology, Stockholm.
He is currently a developer and partner at Watty—an electricity data analysis start-up that creates a breakdown of a household's energy spending from the total electricity consumption data. Watty's leading-edge technology stack has pandas as an integral part.
Both professionally and in his free time, he enjoys data analysis, functional programming, and well-structured code.
For more information, visit http://portfolio.jim.pm.
Francesco Pochetti graduated in physical chemistry in Rome in 2012 and was employed at Avio in Italy. He worked there for 2 years as a solid rocket propellant specialist, taking care of the formulation and development of rocket fuels for both military and aerospace purposes. In July 2014, he moved to Berlin to attend Data Science Retreat—a 3-month boot camp in data analysis and machine learning in Python and R. After this short German experience, he ended up at Amazon in Luxembourg, where he currently works as a business analyst for Kindle content.
In his spare time, he likes to read and play around with several programming languages, Python being among his preferred ones. You can follow him and his data-related projects at http://francescopochetti.com/.