Charles Givre
- Auteur
Mr. Charles Givre is a lead data scientist at Deutsche Bank in the Central Security Office (CSO) where he works in the intersection of cyber security and data science. Prior to joining Deutsche Bank, Mr. Givre was a Senior Lead Data Scientist at Booz Allen Hamilton on one of the firm's largest analytic programs where he led data science efforts and worked to expand the role of data science in the program. Mr. Givre is passionate about teaching others data science and analytic skills and has taught data science classes all over the world at conferences, universities and for clients.
Mr. Charles Givre is a lead data scientist at Deutsche Bank in the Central Security Office (CSO) where he works in the intersection of cyber security and data science. Prior to joining Deutsche Bank, Mr. Givre was a Senior Lead Data Scientist at Booz Allen Hamilton on one of the firm's largest analytic programs where he led data science efforts and worked to expand the role of data science in the program. Mr. Givre is passionate about teaching others data science and analytic skills and has taught data science classes all over the world at conferences, universities and for clients. Most recently, Mr. Givre taught a data science class at the BlackHat conference in Las Vegas and the Center for Research in Applied Cryptography and Cyber Security at Bar Ilan University.
He is a sought-after speaker and has delivered presentations at major industry conferences such as Strata-Hadoop World, BlackHat, Open Data Science Conference and others. Mr. Givre recently accepted the position of Program Chair of the Strategic Analytics Program at Brandeis University's Graduate School of Professional Studies. One of Mr. Givre's research interests is increasing the productivity of data science and analytic teams, and towards that end, he has been working extensively to promote the use of Apache Drill in security applications and has contributed to the code base. Mr. Givre teaches online classes for O'Reilly about Drill and Security Data Science and is a coauthor for the forthcoming O'Reilly book about Apache Drill.
Prior to joining Booz Allen, Mr. Givre, worked as a counterterrorism analyst at the Central Intelligence Agency for five years. Mr. Givre holds a Masters Degree in Middle Eastern Studies from Brandeis University, as well as a Bachelors of Science in Computer Science and a Bachelor's of Music both from the University of Arizona.
He speaks French reasonably well, plays trombone, lives in Baltimore with his family and in his non-existant spare time, is restoring a classic British sports car. Mr. Givre blogs at thedataist.com and tweets @cgivre.
He is a sought-after speaker and has delivered presentations at major industry conferences such as Strata-Hadoop World, BlackHat, Open Data Science Conference and others. Mr. Givre recently accepted the position of Program Chair of the Strategic Analytics Program at Brandeis University's Graduate School of Professional Studies. One of Mr. Givre's research interests is increasing the productivity of data science and analytic teams, and towards that end, he has been working extensively to promote the use of Apache Drill in security applications and has contributed to the code base. Mr. Givre teaches online classes for O'Reilly about Drill and Security Data Science and is a coauthor for the forthcoming O'Reilly book about Apache Drill.
Prior to joining Booz Allen, Mr. Givre, worked as a counterterrorism analyst at the Central Intelligence Agency for five years. Mr. Givre holds a Masters Degree in Middle Eastern Studies from Brandeis University, as well as a Bachelors of Science in Computer Science and a Bachelor's of Music both from the University of Arizona.
He speaks French reasonably well, plays trombone, lives in Baltimore with his family and in his non-existant spare time, is restoring a classic British sports car. Mr. Givre blogs at thedataist.com and tweets @cgivre.
Geschreven door Charles Givre
Charles Givre
Paul Rogers
Learning Apache Drill
In this practical book, Drill committers Charles Givre and Paul Rogers show analysts and data scientists how to query and analyze raw data using this powerful tool.
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