Daniel Korpon Email and Phone Number
Chief Financial And Technology Officer
at
Peninsula Consulting
Daniel Korpon's email is dkorpon15@gmail.com
and
Daniel Korpon's phone number is +1410-507-7725
.
Daniel Korpon Contact Details
Email
dkorpon15@gmail.com
Email
daniel_korpon@troweprice.com
Email
dkorpon@frontiernet.net
Email
dkorpon@aahs.org
Email
daniel.korpon@aahs.org
Phone
+1410-507-7725
Phone
+1410-345-5757
Daniel Korpon Company Details
Location
India
Industry
Human Resources
Daniel Korpon's Experience and Education
Work Experience
Supervisor Global Pricing Services
2009-08 to 2010-08
San Mateo, California, United States
Senior Pricing Analyst Global Pricing Services
2007-11 to 2009-08
San Mateo, California, United States
Pricing Analyst
2006-01 to 2007-10
San Mateo, California, United States
Senior Data Scientist And Developer
2016-11 to 2018-09
Annapolis, Maryland, United States
Education
Severna Park Senior High
Bachelor Of Arts in Statistics
2010 to 2011
Boca Raton, Florida, United States
Frequently Asked Questions about Daniel Korpon
What company does Daniel Korpon work for?
Daniel Korpon works for Peninsula Consulting
What is Daniel Korpon's role in his workplace?
Daniel Korpon's role in his workplace is
Chief Financial And Technology Officer .
Which industry does Daniel Korpon work in currently?
Daniel Korpon works in the industry
Human Resources.
What is Daniel Korpon's email address?
Daniel Korpon's email address is dkorpon15@gmail.com
What is Daniel Korpon's direct phone number?
Daniel Korpon's direct phone number is +1410-507-7725
What schools did Daniel Korpon attended?
Daniel Korpon attended
Severna Park Senior High,
Florida Atlantic University,
Salisbury University,
and
Towson University.
What are some of Daniel Korpon's skills?
Daniel Korpon has skills like
Financial Modeling,
Data Analysis,
Analysis,
Microsoft Excel,
Fixed Income,
Statistical Modeling,
Valuation,
Data Mining,
Securities,
Visual Basic,
Financial Analysis,
Applied Mathematics,
Machine Learning,
Predictive Analytics,
R,
Microsoft Sql Server,
Bayesian Statistics,
Bayesian Inference,
Multivariate Statistics,
Quantitative Modeling,
and
Microsoft Power Bi.
