
Data Scientist, Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Not currently open to new opportunities.
The George Washington University
Doctor of Philosophy - PhD, Systems Engineering
January 1, 2016 – January 1, 2018
Georgia Institute of Technology
Master’s Degree, Computer Science
January 1, 2015 – January 1, 2016
The George Washington University
Master’s Degree, Systems Engineering
January 1, 2013 – January 1, 2014
George Mason University
Bachelor’s Degree, Information Technology
January 1, 2011 – January 1, 2013
Northern Virginia Community College
Associate's Degree, Information Technology
January 1, 2009 – January 1, 2011
Apple
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January 1, 2023 – Present
Ladder
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December 1, 2019 – December 1, 2021
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Capital One
Senior Software Engineer, Machine Learning
March 1, 2017 – December 1, 2019
New York City Metropolitan Area
Gannett | USA TODAY NETWORK
Software Engineer
February 1, 2015 – March 1, 2017
McLean, VA
Mobile Posse
Software Engineer
August 1, 2014 – January 1, 2015
McLean, VA
Hewlett Packard Enterprise
Software Engineer
September 1, 2013 – August 1, 2014
Herndon, VA
BAE Systems
Engineering Intern
May 1, 2012 – September 1, 2012
Rockville, MD
Cultural Fit Analysis
The candidate's experience is heavily focused on backend, data science, and machine learning roles. There is a significant mismatch with the 'Frontend Developer' target role, indicating a low cultural fit for this specific position. While the candidate has a strong technical background, it is not aligned with frontend development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.