Amber McKenzie

Amber McKenzie has extensive experience in data science and natural language processing. Amber'smost recent role was as the VP of Data at Fama Technologies Inc., where they were responsible for leading the data team. Prior to that, they worked as the Head of Data Science at Fama Technologies Inc. and as the Vice President of Data Science and Machine Learning at Bombora. Amber also has experience working as a Manager of Emerging Technologies at PwC and as a Lead Data Scientist and Natural Language Processing Consultant at DialogTech. Amber has a strong academic background, having worked as a Research Assistant and Graduate Teaching Assistant at the University of South Carolina. Additionally, they have experience in the research field, having worked as a Post-Masters Researcher at Oak Ridge National Laboratory and as a Research Intern at Sandia National Laboratories. Overall, Amber has a diverse range of experience in data science, natural language processing, and research.

Amber McKenzie holds a Doctor of Philosophy (Ph.D.) degree in Computer Science from the University of South Carolina, which they obtained between 2008 and 2013. Prior to that, they completed their Master of Arts (M.A.) degree in Linguistics from the same university from 2006 to 2009. Amber'sundergraduate studies include a Bachelor of Arts (B.A.) degree in Spanish, which they earned between 1999 and 2003, also at the University of South Carolina. In addition to their formal education, Amber obtained certifications in Human-Centered Design from PwC in August 2020, and in Digital Acumen from PwC in April 2019.