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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 Toronto
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2009 – January 1, 2015
Sharif University of Technology
M.Sc., Computer Engineering - Software
January 1, 2007 – January 1, 2009
Sharif University of Technology
B.Sc., Computer Engineering - Software
January 1, 2003 – January 1, 2007
Tech Lead Manager, Staff Software Engineer - ML
November 1, 2015 – Present
NovoEd
Data Scientist - Intern
April 1, 2015 – July 1, 2015
San Francisco
Microsoft Research
Research Intern
September 1, 2014 – December 1, 2014
Silicon Valley Campus
Stanford University
Visiting Researcher
September 1, 2014 – December 1, 2014
Stanford, CA
University of Toronto
Instructor
May 1, 2013 – August 1, 2013
University of Toronto
Research and Teaching Assistant
September 1, 2009 – September 1, 2015
Cultural Fit Analysis
The candidate's background at Google, Microsoft Research, and various academic institutions demonstrates adaptability to high-performance, research-intensive, and collaborative environments. The transition from ML/Software Engineering to a Data Analyst role suggests a potential interest in data-driven insights, but the direct alignment with a pure Data Analyst role (which often involves more business intelligence and reporting) needs further validation. The breadth of skills is strong in ML/CS, but specific data analysis tools and methodologies are not explicitly detailed in the resume.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead Manager and Instructor suggests strong leadership, communication, and mentoring skills. Their research background implies strong problem-solving and analytical abilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.