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Principal Complex Systems Engineer at MITRE - Founder at Intelligenate, LLC
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A multi-disciplinary engineering professional who specializes in reaching harmonious solutions to challenging problems. Specialties: modeling and simulation, systems engineering, policy analysis, agent-based modeling, computational finance, critical infrastructure security and resilience
Santa Fe Institute
Complex Systems Summer School
January 1, 2011 – January 1, 2011
Delft University of Technology
Master of Science, Systems Engineering, Policy Analysis and Management
January 1, 2008 – January 1, 2011
University of Colorado Boulder
Bachelor of Science, Electrical Engineering Major, Philosophy Minor
January 1, 1998 – January 1, 2003
Intelligenate, LLC
Founder
August 1, 2020 – Present
MITRE
Principal Complex Systems Engineer
June 1, 2011 – Present
Raytheon - Space and Airborne Systems
Electrical Engineer
March 1, 2004 – August 1, 2008
Naval Surface Warfare Center - NAVSEA
Electronics Engineer
August 1, 2003 – March 1, 2004
National Institute of Standards and Technology - NIST
Undergraduate Student Fellow
May 1, 2001 – August 1, 2003
Cultural Fit Analysis
The candidate's background is heavily rooted in engineering and defense sectors, with a focus on complex systems. While this demonstrates a structured and analytical mindset, the direct alignment with a 'Data Analyst' role in a potentially different industry is not immediately clear. The lack of explicit data analysis projects or skills on the resume makes it challenging to assess cultural fit for a data-centric team without further information.
Soft Skills & Operational Fit
The candidate's resume indicates a long tenure at MITRE as a Principal Complex Systems Engineer, suggesting strong problem-solving, analytical thinking, and potentially leadership skills. However, without specific project details or behavioral assessment data, it is difficult to fully assess operational fit and soft skills beyond what can be inferred from job titles and duration.