William Komp Email and Phone Number
Co Founder And Chairman Of The Board And Chief Technology Officer
at
West Wind Power
William Komp's email is wkomp@smarterhq.com
and
William Komp's phone number is +1502-417-5736
.
William Komp Contact Details
Email
wkomp@smarterhq.com
Email
pamdirac.geo@yahoo.com
Phone
+1502-417-5736
Phone
+1502-515-8970
Phone
+1414-247-1726
Phone
+1414-961-2664
Phone
+1502-426-7754
Phone
+1502-417-6049
William Komp Company Details
Location
Louisville, Kentucky, United States
Industry
Oil & Energy
William Komp's Experience and Education
Work Experience
Business Technology Consultant Medicare Risk Adjustment
2008-09 to 2012-02
Louisville, Kentucky, United States
Visiting Assistant And Adjunct Professor
2004-07 to 2008-08
Kentucky, United States
Assistant Professor
2007-07 to 2008-06
Bowling Green, Kentucky, United States
Research Scientist Provider Process And Services
2012-02 to 2014-10
Louisville, Kentucky, United States
Undergraduate Teaching Assistant
1997-08 to 1998-06
Kentucky, United States
Co Founder And Chairman Of The Board And Chief Technology Officer
2009-11 to Unknown
Louisville, Kentucky, United States
Education
Doctor Of Philosophy in Philosophy
1999 to 2004
Bachelor Of Science in Physics
1994 to 1994
Louisville, Kentucky, United States
Frequently Asked Questions about William Komp
What company does William Komp work for?
William Komp works for West Wind Power
What is William Komp's role in his workplace?
William Komp's role in his workplace is
Co Founder And Chairman Of The Board And Chief Technology Officer .
Which industry does William Komp work in currently?
William Komp works in the industry
Oil & Energy.
What is William Komp's email address?
William Komp's email address is wkomp@smarterhq.com
What is William Komp's direct phone number?
William Komp's direct phone number is +1502-417-5736
What schools did William Komp attended?
William Komp attended
University Of Louisville,
and
University Of Chicago.
What are some of William Komp's skills?
William Komp has skills like
Data Mining,
Sql,
Algorithms,
Physics,
Python,
Analytics,
Data Analysis,
Predictive Analytics,
Matlab,
Statistics,
Statistical Modeling,
C++,
Programming,
Fortran,
C,
Latex,
Machine Learning,
Relational Databases,
Probability Theory,
Analysis,
and
Datamining.
