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Interested in machine learning research and applications
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
Doctor of Philosophy (Ph.D.)
N/A – Present
Stanford University
B.S., M.S.
N/A – Present
Uber
Principal Engineer
January 1, 2023 – Present
Uber
Senior Staff Software Engineer, dynamic pricing
January 1, 2021 – January 1, 2023
Uber
Staff Software Engineer, dynamic pricing
January 1, 2018 – January 1, 2021
Celect, Inc.
Architect / Lead, prediction platforms & systems
January 1, 2016 – January 1, 2018
Celect, Inc.
Senior Data Scientist, machine learning
January 1, 2015 – January 1, 2018
The D. E. Shaw Group
Quantitative Developer, market models
July 1, 2009 – September 1, 2009
Microsoft Research
Research Engineer, content delivery & network protocols
May 1, 2008 – August 1, 2008
Hewlett-Packard Laboratories
Research Engineer, video coding
June 1, 2006 – August 1, 2006
MERL
Research Engineer, imaging algorithms
May 1, 2005 – August 1, 2005
IBM TJ Watson Research Center
Research Engineer, signal distribution
June 1, 2003 – September 1, 2003
Cultural Fit Analysis
The candidate's background is heavily skewed towards software engineering, research, and quantitative development, with a strong emphasis on complex algorithmic and system design roles. While there is experience in 'Senior Data Scientist, machine learning' at Celect, Inc., the overall career trajectory and recent roles (Principal Engineer, Staff Software Engineer) at Uber are more aligned with software engineering and system architecture than a dedicated Data Analyst role. This suggests a potential mismatch with the target role's day-to-day responsibilities, which typically involve more direct data manipulation, reporting, and business intelligence, rather than deep system design or principal engineering. The candidate's profile indicates a strong fit for roles requiring advanced analytical modeling and system implementation, but less so for a pure data analyst position.
Soft Skills & Operational Fit
The candidate's extensive experience in research and lead roles suggests strong problem-solving, analytical thinking, and leadership skills. However, without specific project descriptions or interview data, it's difficult to assess communication, teamwork, and adaptability directly. The progression through senior roles at Uber indicates operational effectiveness and ability to handle complex technical challenges.