Charles Givre is an unapologetic data geek who is passionate about helping others learn about data science and become passionate about it themselves. He has worked at Booz Allen Hamilton for the last five years as a data scientist for various government clientsand done some really neat data science work along the way, which hopefully saves U.S. 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 the company's largest analytic contracts. His responsibility has been to increase the amount of data science on the contract, both in terms of tasks and people.

Jair Aguirre is a life-long tinkerer and has created and hacked everything from custom computers to hot rod engines to music. He is currently a Lead Data Scientist at Booz Allen Hamilton and has over 17 years experience supporting insight discovery and analytics for multiple clients and organizations. Jair's professional passion lies in bringing advanced methods to the mainstream, innovating automated discovery techniques, and prediction for technology risk and opportunity. Jair holds a Master of Science Degree in Applied Economics from The Johns Hopkins University, a Bachelor of Science Degree in Liberal Studies from Excelsior College, and holds certifications in CEH, CPT, Security, Network, EMC Data Science, Hortonworks HDP, and IIF Forecasting Practice. Charles Givre is an unapologetic data geek who is passionate about helping others learn about data science and become passionate about it themselves.