About the Reviewer

Manuel Amunategui is an applied data scientist. He has implemented enterprise predictive solutions for many industries, including healthcare, finance, and sales. Prior to that, he worked as a quantitative developer on Wall Street for 6 years for one of the largest equity-options market-making firms, and as a software developer at Microsoft for 4 years.

He holds master degrees in Predictive Analytics from Northwestern University and in International Administration from the School for International Training.

He is currently the VP of Data Science at SpringML, a startup focused on offering advanced and predictive CRM analytics advice, dashboards, and automation. SpringML’s clients include Google Cloud Platform, Chevron, Yamaha, Tesoro, and Salesforce.

He is a data science advocate, blogger/vlogger (amunategui.github.io) and a trainer on Udemy.com and O’Reilly Media.