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ML, AI, Data, Backend
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Cornell University
PhD, Computational Biology
January 1, 2007 – January 1, 2013
University of South Carolina
Bachelor of Science (BS), Mathematics and Biology
January 1, 2001 – January 1, 2005
Aura Intelligence
Machine Learning
June 1, 2025 – Present
Machine Learning
October 1, 2019 – April 1, 2024
NY
Stitch Fix
Research / ML / Data Science
January 1, 2018 – September 1, 2018
Spotify
Machine learning, big data, research, etc
August 1, 2015 – January 1, 2018
New York
Sum
Senior Data Scientist
December 1, 2014 – May 1, 2015
New York, NY
Knewton
Data Scientist
August 1, 2013 – November 1, 2014
Weill Cornell Medical College
Graduate Student
June 1, 2007 – July 1, 2013
Cultural Fit Analysis
The candidate has a strong background in research and machine learning, which aligns with data-driven cultures. The diversity of roles and companies (Facebook, Spotify, Stitch Fix) suggests adaptability. However, the target role is 'Data Analyst' while the experience is heavily skewed towards 'Machine Learning' and 'Data Science', which might indicate a slight mismatch in specific day-to-day responsibilities, though the underlying analytical skills are highly relevant. The lack of project details makes it difficult to fully assess cultural alignment with specific project types or team dynamics.
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, which does not allow for evaluation of logical reasoning, work attitude, stress handling, or team collaboration.