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Data Science and Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Stanford University
Doctor of Philosophy (PhD), Mathematics
January 1, 2007 – January 1, 2012
Caltech
BS, Mathematics
January 1, 2003 – January 1, 2007
Senior Software Engineer, Machine Learning
January 1, 2017 – Present
IndianRaga
COO
January 1, 2015 – January 1, 2016
Cambridge, MA
Harvard University
Benjamin Peirce Fellow
January 1, 2012 – January 1, 2015
Cambridge, MA
Microsoft Research, Bangalore
Summer Intern
June 1, 2011 – September 1, 2011
India
Stanford University
Graduate Student
January 1, 2007 – January 1, 2012
Stanford, CA
Cultural Fit Analysis
The candidate's background is heavily skewed towards software engineering, machine learning, and academic research in mathematics. While these fields require strong analytical skills, the direct alignment with a 'Data Analyst' role, which often involves specific business intelligence tools, reporting, and stakeholder communication, is not explicitly demonstrated. The diversity of roles (academic, startup COO, big tech engineer) indicates adaptability, but the target role fit is low without more specific data analysis experience.
Soft Skills & Operational Fit
The candidate's experience as a COO and a Senior Software Engineer at Google suggests strong problem-solving, analytical, and potentially leadership skills. However, specific soft skills and operational fit for a Data Analyst role cannot be fully assessed without more detailed project descriptions or psychometric test results.