Bill Chambers is a Python developer and data scientist currently pursuing a master of information management and systems degree at the UC Berkeley School of Information. Previously, he focused on data architecture and systems using marketing, sales, and customer analytics data. Bill is passionate about delivering actionable insights and innovative solutions using data.
You can find more information about him at http://www.billchambers.me.
S. Shelly Jang received her PhD degree in electrical engineering from the University of Washington and a master's degree in chemical and biological engineering from the University of British Columbia in 2014 and 2009, respectively. She was an Insight Data Science fellow in 2014. During her tenure, she built a web app that recommends crowd-verified treatment options for various medical conditions. She is currently a senior data scientist at AT&T Big Data. Exploring complex, large-scale data sets to build models and derive insights is just a part of her job.
In her free time, she participates in the Quantified Self community, sharing her insights on personal analytics and self-hacking.
Arun Karunagath Rajeevan is a senior consultant (products) in an exciting start-up, working as an architect and coder, and is a polyglot. He is currently involved in developing the best quality management suite in the supply chain management category.
Apart from this, he has experience in healthcare and multimedia (embedded) domains. When he is not working, he loves to travel and listen to music.
Daniel Velkov is a software engineer based in San Francisco, who has more than 10 years of programming experience. His biggest professional accomplishment was designing and implementing the search stack for MyLife.com—one of the major social websites in the US. Nowadays, he works on making Google search better. Besides Python and search, he has worked on several machine learning and data analysis-oriented projects. When he is not coding, he enjoys skiing, riding motorcycles, and exploring the Californian outdoors.
Adrian Wan is a physics and computer science major at Swarthmore College. After he graduates, he will be working at Nest, a Google company, as a software engineer and data scientist. His passion lies at the intersection of his two disciplines, where elegant mathematical models and explanations of real-life phenomena are brought to life and probed deeply with efficient, clean, and powerful code. He greatly enjoyed contributing to this book and hopes that you will be able to appreciate the power that pandas brings to Python.
You can find out more about him at http://awan1.github.io.