
PhD, Language Technologies Institute, School of Computer Science, Carnegie Mellon University
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
My foucs is algorithmic trading as gaming, machine learning and software engineering.
Carnegie Mellon University
Doctor of Philosophy (Ph.D.), Computer Science (Language Technologies)
January 1, 2010 – January 1, 2017
Software Engineer
May 1, 2019 – Present
New York City Metropolitan Area · On-site
Microsoft
Applied Scientist
December 1, 2017 – May 1, 2019
Greater Seattle Area
Amazon
Machine Learning Scientist II
August 1, 2016 – December 1, 2017
Greater Pittsburgh Area; Greater Boston Area
Boeing Data Science Group
Visiting Researcher
July 1, 2015 – July 1, 2015
Greater Seattle Area
IceKredit/UnionPay Laboratory
Visiting Researcher
January 1, 2015 – February 1, 2015
Shanghai, China
IBM T. J. Watson Research Center
Research Intern
May 1, 2014 – August 1, 2014
IBM T. J. Watson Research Center, Yorktown, NY
Microsoft Research Asia
Research Intern
May 1, 2008 – May 1, 2009
Beijing, China
Cultural Fit Analysis
The candidate has a strong background in research and development within major tech companies and academic institutions. While the experience is highly technical and impressive, the target role is 'Data Analyst'. The candidate's profile leans heavily towards Machine Learning Scientist/Software Engineer roles, which might indicate a potential mismatch in day-to-day responsibilities and expectations for a typical Data Analyst position. The breadth of skills is deep in ML/NLP but less explicitly broad in traditional data analysis tools or business intelligence, which could impact cultural fit for a pure analyst role.
Soft Skills & Operational Fit
The candidate's resume highlights roles in research and development within large organizations, suggesting an ability to work in structured environments and contribute to complex projects. The descriptions imply problem-solving and analytical skills. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided data.