Build Better Defenses
October 29–30, 2017: Training
October 30–November 1, 2017: Tutorials & Conference
New York, NY
Charles Givre

Charles Givre
Senior Lead Data Scientist, Orbital Insight

Website | @cgivre

Charles Givre is an unapologetic data geek who is passionate about helping others learn about data science and become passionate about it themselves. For the last five years, Charles has worked as a data scientist at Booz Allen Hamilton for various government clients and has done some really neat data science work along the way, hopefully saving US taxpayers some money. Most of his work has been in developing meaningful metrics to assess how well the workforce is performing. For the last two years, Charles has been part of the management team for one of Booze Allen Hamilton’s largest analytic contracts, where he was tasked with increasing the amount of data science on the contract—both in terms of tasks and people.

Even more than the data science work, Charles loves learning about and teaching new technologies and techniques. He has been instrumental in bringing Python scripting to both his government clients and the analytic workforce and has developed a 40-hour Introduction to Analytic Scripting class for that purpose. Additionally, Charles has developed a 60-hour Fundamentals of Data Science class, which he has taught to Booz Allen staff, government civilians, and US military personnel around the world. Charles has a master’s degree from Brandeis University, two bachelor’s degrees from the University of Arizona, and various IT security certifications. In his nonexistent spare time, he plays trombone, spends time with his family, and works on restoring British sports cars.

Sessions

9:00am - 5:00pm Sunday, October 29 & Monday, October 30
Location: Madison Level: Intermediate
Charles Givre (Orbital Insight), Jay Jacobs (BitSight Technologies)
Join experts Jay Jacobs and Charles Givre for a hands-on, in-depth exploration of data analysis and machine learning in cybersecurity. You’ll learn how to explore and analyze data you probably already have and gain valuable exposure to and experience with tools and techniques to prepare, analyze, and visualize the knowledge hiding in your data. Read more.
9:00am–5:00pm Monday, October 30, 2017