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Software Engineer, Machine Learning 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
Michigan State University
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2012 – January 1, 2017
Michigan State University
Master's Degree, Statistics
January 1, 2010 – January 1, 2012
Software Engineer, Machine Learning
September 1, 2018 – Present
San Francisco Bay Area
Quora
Machine Learning Engineer
August 1, 2017 – August 1, 2018
San Francisco Bay Area
Tesla Motors
Data Scientist Intern
May 1, 2015 – August 1, 2015
San Francisco Bay Area
Bosch North America
Data Mining Research Intern
May 1, 2014 – August 1, 2014
San Francisco Bay Area
Michigan State University
Research Assistant
January 1, 2013 – June 1, 2017
SAS base programmer
SAS and Pearson VUE
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning and Software Engineering, with a strong academic research background. While there is Data Scientist Intern experience, the primary roles at Google and Quora are not directly aligned with a pure Data Analyst role. This suggests a potential overqualification or a mismatch in the specific day-to-day responsibilities expected for a Data Analyst, which typically focuses more on reporting, dashboarding, and business intelligence rather than advanced ML model development. The lack of project details makes it difficult to assess the diversity of their practical application of skills.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.