Ahmed Sherif is a data scientist who has been working with data in various roles since 2005. He started off with BI solutions and transitioned to data science in 2013. In 2016, he obtained a master's in Predictive Analytics from Northwestern University, where he studied the science and application of machine learning and predictive modeling using both Python and R. As a data scientist, he strives to architect predictive capabilities with big data solutions for companies to better leverage their data and make more informed decisions. Lately, he has been developing machine learning and deep learning solutions on the cloud using Azure. In 2016, he published his first book, Practical Business Intelligence. In 2018, he published his second book, Apache Spark Deep Learning Cookbook. He currently works as a Technology Solution Profession in Data and AI for Microsoft.