Cisco Systems, Inc.

December 2016 – Present

• Research and implement machine learning algorithms tailored to specific business needs

• Select features, build, and optimize machine learning models using state-of-the-art methods

• Analyze data and present key data-driven insights using notebooks and data visualization tools

• Foster culture of continuous engineering improvement through mentoring, feedback, and metrics in Agile project environment

Booz Allen Hamilton

July 2015 – December 2016

• Led data science team for protoype project to monitor client-related social media and web content, perform sentiment analysis, and surface trending insights to the client

• Created classification algorthm in R to predict cost growth levels in Navy ship modifications

• Bridged the communication gap as primary interface between clients/stakeholders and developers/analysts, ensuring clients knew the art of the possible and requirements were met

United States Air Force

March 2013 – September 2014

• Section manager; managed 39 scientists, engineers, and data analysts in all aspects of intelligence data analysis and reporting

• Increased team’s intelligence production by 49% and overcame 20% manpower loss on critical analyst team by reallocating resources and automating processes

• Saved 3,500 man-hours by identifying deficiencies in inter-agency reporting requirements and simplifying intelligence processing and reporting

• Compiled and calculated intelligence data reporting metrics

United States Air Force

August 2011 – March 2013

• Operated 4 scientific computer models to generate and analyze large, complex data sets

• Drove key changes to NASA and US Air Force space weather modeling by identifying critical computer model deficiencies

• Validated and compared model values to measured data by performing comprehensive statistical analysis in MATLAB

• Wrote computer algorithms to process, compare, analyze, and visualize data

United States Air Force

July 2007 – August 2011

• Assistant section manager; managed 8-member scientist team, $500K annual budget, and planned team’s 50+ trips per year

• Recognized as organization’s junior scientist of the year (2010), ranked in top 15% of peers

• Chaired subcommittee in Department of Defense and implemented procedures to cut US military laser system approval time by 30%

• Reviewed all technical reports and documents published by team

• Improved an existing laser safety curriculum and trained 150 employees annually on laser safety concepts and procedures