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Statistical Consulting - Eric Sayre Stats
Eric C. Sayre, PhD is a statistician, researcher, author and programmer currently living in Vancouver, BC. He began working professionally in the field of statistics in 1997,
and completed two graduate degrees while remaining active in the research community. He completed his PhD in the Department of Statistics and Actuarial Science at
Simon Fraser University in 2009.
Eric's current research focus is Machine Learning. His progress so far:
i) Introduction to Data Science in Python by University of Michigan on Coursera,
earned on April 24, 2017;
ii) Machine Learning by Stanford University on Coursera,
earned on March 24, 2017.
Eric is currently enrolled in the 5-course Applied Data Science with Python Specialization taught by University of Michigan professors
and delivered through Coursera.
Eric is a well-published researcher, with more than 200 publications since 1997. These are a mixture of first-authorships and coauthorships
on articles published in peer-reviewed medical journals, abstracts presented at scientific meetings, research reports, invited talks and his own two graduate theses.
Since 1997, Eric has also been a statistical consultant/collaborator for a variety of clinical and epidemiological research groups, in both health research as well as various private industry projects.
I am experienced in a variety of programming languages, databases, statistical packages, and other software, including
SAS (expert), R, Parscale, C++, Python, Octave, Microsoft SQL, VB Script, Active Server Pages (ASP), HTML, Microsoft Office (Word, Excel, PowerPoint, Access and Outlook), EndNote, to name but a few.
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