
Machine learning engineer turned Ethereum investor
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning and cryptocurrency are my obsessions. You can find more info about me on my personal website and my github. http://jamiis.me https://github.com/jamiis
Columbia University
Master of Science - MS, Computer Science - Machine Learning
January 1, 2013 – January 1, 2015
University of Utah
Bachelor of Science (B.S.), Computer Science and Applied Mathematics
January 1, 2005 – January 1, 2012
Wavelet Health
Machine Learning Engineer
December 1, 2016 – Present
New York City
3PDx
Director of Software Development
September 1, 2012 – January 1, 2013
Greater Salt Lake City Area
HireVue
Software Engineer
December 1, 2011 – July 1, 2013
Sparrow Healthcare
Lead Software Engineer
May 1, 2011 – August 1, 2011
Greater Salt Lake City Area
Skweez
Founder and Lead Engineer
May 1, 2009 – August 1, 2010
Greater Salt Lake City Area
Cultural Fit Analysis
The candidate has a diverse background spanning startups (3PDx, Skweez), healthcare tech (Wavelet Health, Sparrow Healthcare), and larger tech companies (HireVue). This breadth suggests adaptability and an ability to thrive in various environments. The experience as a founder also indicates an entrepreneurial mindset. However, the target role is 'Data Analyst', which is a significant shift from their primary experience as a Machine Learning Engineer and Software Engineer. While their ML background is relevant, the specific focus on data analysis tasks (e.g., SQL, data visualization, business intelligence) is not explicitly detailed, which might impact cultural fit for a pure data analyst role.
Soft Skills & Operational Fit
The candidate's resume indicates experience in leadership roles and founding a company, suggesting strong initiative, problem-solving, and potentially good communication skills. However, without specific psychometric test results or interview data, a definitive assessment of soft skills and operational fit is not possible.