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PhD Student in Machine Learning at Carnegie Mellon University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
Doctor of Philosophy - PhD, Machine Learning
January 1, 2018 – January 1, 2022
Carnegie Mellon University
Master's degree, Machine Learning
January 1, 2016 – January 1, 2017
Bard College
BA, Mathematics
N/A – Present
MediaMath
Data Scientist
November 1, 2013 – August 1, 2016
Cambridge, MA
Zettics
Software Developer
March 1, 2013 – November 1, 2013
Icosystem
Complexity Model Developer
January 1, 2010 – March 1, 2013
Hampshire College Summer School in Mathematics
Mathematics Teacher
January 1, 2009 – January 1, 2009
Williams College
Mathematics Researcher
January 1, 2008 – January 1, 2008
Studio Six
Web Designer and Developer
January 1, 2007 – April 1, 2012
Bard College
Mathematics Researcher
January 1, 2007 – January 1, 2008
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with roles like 'Mathematics Researcher' and 'Complexity Model Developer'. While there is a 'Data Scientist' role, the overall profile leans more towards research and development rather than a typical Data Analyst role which often requires strong business acumen, stakeholder communication, and dashboarding/reporting skills. The lack of specific project details makes it difficult to assess alignment with practical, business-driven data analysis tasks. The candidate's experience level (13 years) is high, but the direct relevance to a 'Data Analyst' role, especially in modern business contexts, is not clearly demonstrated without more detailed project descriptions.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Psychometric test scores are 0, indicating no data.