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Software Engineer at Google
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 Waterloo
Bachelor of Mathematics, Computer Science
January 1, 2006 – January 1, 2011
University of Waterloo
Bachelor of Mathematics, Statistics
January 1, 2006 – January 1, 2011
Software Engineer
April 1, 2019 – Present
San Francisco Bay Area
Apple
Machine Learning Engineer
September 1, 2015 – February 1, 2017
Apple
Senior Software Engineer
July 1, 2014 – September 1, 2015
Zynga
Senior Software Engineer
March 1, 2012 – July 1, 2014
Korea Electric Power Corporation (KEPCO)
Software Consultant
January 1, 2011 – June 1, 2011
Student Developer
May 1, 2009 – August 1, 2009
BlackBerry
Software Engineering Intern
May 1, 2009 – August 1, 2009
Cultural Fit Analysis
The candidate has a strong background in software engineering and machine learning, which are adjacent but not directly aligned with a 'Data Analyst' target role. While there's experience with data platforms and analytics teams, the primary roles have been engineering-focused. This suggests a potential gap in direct experience with typical data analyst responsibilities (e.g., advanced SQL querying, dashboarding, specific BI tools, statistical modeling for business insights). The diversity of companies (Google, Apple, Zynga) indicates adaptability, but the role alignment for a Data Analyst position is moderate.
Soft Skills & Operational Fit
The provided data does not include information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data for logical reasoning, work attitude, stress handling, or team collaboration.