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Machine Learning at Google Research
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Massachusetts Institute of Technology
Master's Degree
N/A – Present
Indian Institute of Technology, Bombay
Bachelor of Technology (BTech)
N/A – Present
Meta
Research Scientist
January 1, 2026 – Present
Google Research
Research Tech Lead
January 1, 2020 – January 1, 2025
San Francisco Bay Area
Amazon
Machine Learning Scientist
October 1, 2016 – December 1, 2019
San Francisco Bay Area
UCLA
Institute for Pure & Applied Mathematics
July 1, 2015 – July 1, 2015
Los Angeles
Deutsche Bank
Research Collaborator
December 1, 2014 – January 1, 2015
New York
Massachusetts Institute of Technology (MIT)
Research Assistant
August 1, 2014 – August 1, 2016
WorldQuant LLC
Quantitative Researcher
July 1, 2013 – August 1, 2014
Mumbai Metropolitan Region
University of Waterloo
Research Assistant
May 1, 2012 – July 1, 2012
Waterloo
National University of Singapore
Research Assistant
May 1, 2011 – July 1, 2011
Singapore
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced research in AI/ML, which might not directly align with the typical day-to-day responsibilities of a Data Analyst role. While the analytical skills are transferable, the focus on LLMs, Reinforcement Learning, and Superintelligence Labs suggests a preference for cutting-edge research over traditional data analysis. The diversity of projects is high within the research domain, but less so in standard business intelligence or data analytics applications. This could indicate a potential mismatch if the Data Analyst role is not heavily focused on advanced statistical modeling or ML-driven insights.
Soft Skills & Operational Fit
The candidate's extensive experience in research roles at leading tech companies suggests strong analytical thinking, problem-solving, and potentially independent work capabilities. However, the provided data does not offer specific insights into communication, teamwork, or stress handling, as psychometric and English test scores are zero. The operational fit for a Data Analyst role is moderate, given the candidate's strong research background which might lean more towards model development than pure data analysis and reporting.