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<big>'''Sean G. Carver, Ph. D.'''</big>, Professorial Lecturer, American University.
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<big>'''Sean G. Carver, Ph. D.'''</big>, Data Scientist, Data Machines Corp.
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:Data scientist, gifted in the creative analysis and presentation of data.  I have skills and experience creating and conveying penetrating insights from data and models.  In a sense, I have been a data scientist for my entire career, but I now seek opportunities to apply my expertise and skill sets to important domains with relevance to problems in the real world, that matter to real people and to organizations beyond academia.
  
* [[Sean G. Carver's Teaching and Course Development|'''Teaching and Course Development''']]  
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* [[Sean G. Carver's Current Research and Data Science Projects|'''Current Research and Data Science Projects''']]  
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::''Baseball Research Showcase for Undergraduates:''  http://baseball.seancarver.org/novelty.html
  
''Currently teaching at American University:'' The syllabus for the upcoming Summer 2017XB Stat 202 (Basic Statistics) will be posted here soon:
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* [https://medium.com/@SeanCarverData '''Blog''']
::[[Syllabus_Stat_202_Summer_2017XD|'''Stat 202 (Basic Statistics)''']]. Section 003.  Summer 2017XD .
 
::[[Syllabus_Math_313_Summer_2017XD|'''Math 313 (Calculus III)''']]. Section 002.  Summer 2017XD.
 
  
''In Spring 2017, I taught Stat 370, Introduction to Statistical Computing and Modeling.  The course has its own server, http://stat370.com/, where students have showcased their data science creations.
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* [https://github.com/seancarverphd '''GitHub Repo''']
  
''In Spring 2009, I developed and taught at Johns Hopkins: [[ID_Course_Johns_Hopkins_Spring_2009|Modeling and Identifying Neurosystems]].''
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* [[Sean G. Carver's Teaching and Course Development|'''Teaching and Course Development''']]  
  
* [[Sean G. Carver's Current Research and Data Science Projects|'''Current Research and Data Science Projects''']]  
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''In Spring 2017, I taught Stat 370, [[Syllabus:_Stat_370_Spring_2017|''Introduction to Statistical Computing and Modeling'']].
  
''Much of my current research involves projects related to the statistical analysis of models using simulated data.''
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''In Spring 2009, I developed and taught at Johns Hopkins: [[ID_Course_Johns_Hopkins_Spring_2009|Modeling and Identifying Neurosystems]].''
  
 
* [[Sean G. Carver's Biography|'''Biography''']]
 
* [[Sean G. Carver's Biography|'''Biography''']]
  
''I received my Ph.D. in Applied Mathematics from Cornell University in 2003.''
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''I received my Ph.D. in Applied Mathematics from Cornell University in 2003.  I later worked for the University of Maryland, Johns Hopkins University, Yale University, and Data Machines Corp.''
  
 
* [[Sean G. Carver's Textbook Collaborative Authoring|'''Textbook Collaborative Authoring''']]  
 
* [[Sean G. Carver's Textbook Collaborative Authoring|'''Textbook Collaborative Authoring''']]  
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* [https://www.linkedin.com/in/sean-c-a3181331/ '''LinkedIn Profile''']
 
* [https://www.linkedin.com/in/sean-c-a3181331/ '''LinkedIn Profile''']
 
* [[Media:Carver_CV.pdf|'''Curriculum Vitae''']]
 

Revision as of 23:50, 9 August 2021

Sean G. Carver, Ph. D., Data Scientist, Data Machines Corp.

Data scientist, gifted in the creative analysis and presentation of data. I have skills and experience creating and conveying penetrating insights from data and models. In a sense, I have been a data scientist for my entire career, but I now seek opportunities to apply my expertise and skill sets to important domains with relevance to problems in the real world, that matter to real people and to organizations beyond academia.
Baseball Research Showcase for Undergraduates: http://baseball.seancarver.org/novelty.html

In Spring 2017, I taught Stat 370, Introduction to Statistical Computing and Modeling.

In Spring 2009, I developed and taught at Johns Hopkins: Modeling and Identifying Neurosystems.

I received my Ph.D. in Applied Mathematics from Cornell University in 2003. I later worked for the University of Maryland, Johns Hopkins University, Yale University, and Data Machines Corp.

I wrote: The Data Professor's Guide to Basic Statistics.