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Machine Learning Engineer at Komodo Health
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Harvard University
Doctor of Philosophy (Ph.D.), Physics
January 1, 2002 – January 1, 2010
Williams College
Bachelor’s Degree, Physics
January 1, 1998 – January 1, 2002
Komodo Health
Machine Learning Engineer
December 1, 2015 – Present
Greater New York City Area
Insight Data Science
Fellow
September 1, 2015 – November 1, 2015
Greater New York City Area
Harvard-Smithsonian Center for Astrophysics
Visiting Scientist
January 1, 2011 – December 1, 2015
Cambridge, MA
Harvard University
PhD Research Fellow, Physics Department
June 1, 2004 – December 1, 2010
Cambridge, MA
Harvard University
Teaching Fellow, Physics Department
September 1, 2003 – May 1, 2004
Cambridge, MA
Williams College
Undergraduate Research Assistant, Physics Department
June 1, 2001 – August 1, 2002
Williamstown, MA
Cultural Fit Analysis
The candidate's background is heavily rooted in academic research and scientific inquiry, which emphasizes deep analytical rigor and long-term project cycles. While this brings a strong foundation in problem-solving, the transition to a fast-paced corporate data analyst environment might require adjustment. The target role of 'Data Analyst' aligns with the candidate's analytical and data manipulation skills, but the specific industry and business context of the target company would need further assessment to determine a precise cultural fit. The candidate's experience at Insight Data Science and Komodo Health shows some exposure to industry, but the majority of their career has been in academia.
Soft Skills & Operational Fit
The candidate's extensive research background suggests strong problem-solving, analytical thinking, and independent work capabilities. Experience in teaching and advising indicates communication and mentorship potential. The ability to manage complex scientific projects implies strong organizational skills and attention to detail. However, direct experience in a corporate data analyst role is limited, which might require adaptation to business-specific operational workflows and stakeholder communication styles.