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Machine Learning Engineer at Apple SPG
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Houston
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2012 – January 1, 2017
Beijing Jiaotong University
Master's Degree, Traffic information engineering and control
January 1, 2008 – January 1, 2011
Beijing Jiaotong University
Bachelor's Degree, Automation
January 1, 2004 – January 1, 2008
Apple
Machine Learning Engineer
October 1, 2017 – Present
Cupertino, CA
Apple
Software Engineer Internship
May 1, 2016 – August 1, 2016
Cupertino, CA
Computational Biomedicine Lab @ UH (http://cbl.uh.edu/)
Research Assistant
June 1, 2013 – Present
4811 Calhoun Rd. Houston, TX 77204
Cultural Fit Analysis
The candidate's background is heavily weighted towards research and machine learning engineering. While these skills are valuable, the target role is 'Data Analyst'. The lack of explicit data analysis projects or roles on the resume, beyond general ML engineering, suggests a potential mismatch in day-to-day responsibilities and focus. The candidate's experience at Apple and academic research indicates a fit for high-performance, innovative environments, but specific alignment with a data analyst culture is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The resume lacks descriptions of collaborative projects, leadership roles, or specific contributions that would highlight these areas. No psychometric test results are available.