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<big>'''Sean G. Carver, Ph. D.'''</big>, Data Scientist, Data Machines Corp.
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<big>'''Sean G. Carver, Ph. D.'''</big>, Data Scientist
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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, although I did not always call myself that.  I have also called myself a modeler.
  
::Data scientist, gifted in the creative analysis and presentation of data.  I have skills and experience creating and conveying penetrating insights from data and modelsIn 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.
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*<big> [[Doctor Data Professor|'''Mentoring and Tutoring available for the 2023-2024 school year (click here)''']] </big>
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::''I tutor most STEM fields and mentor data projects that send students to the next level---college, graduate school, or a spectacular career.  I have a particular interest and experience in baseball analytics to prepare students to work or study as sports data analystsRegardless of your field of interest, I can help you design and implement a project or projects that will get you noticed by employers and university admission committees.''
  
  
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* [[Sean G. Carver's Teaching and Course Development|'''Teaching and Course Development''']]  
 
* [[Sean G. Carver's Teaching and Course Development|'''Teaching and Course Development''']]  
::<big>''Recently taught at American University:''
 
::[[Syllabus_Stat_202_Spring_2020|''STAT 202 (Basic Statistics)'']]. 2020S. </big>
 
  
''In Spring 2017, I taught Stat 370, Introduction to Statistical Computing and Modeling.  The course had its own server, http://stat370.com/, where students have showcased their data science creations.
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::''In Spring 2017, I taught Stat 370, [[Syllabus:_Stat_370_Spring_2017|''Introduction to Statistical Computing and Modeling'']].
  
''In Spring 2009, I developed and taught at Johns Hopkins: [[ID_Course_Johns_Hopkins_Spring_2009|Modeling and Identifying Neurosystems]].''
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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''']]  
  
''I wrote: [[Media:The_Data_Professors_Guide_to_Basic_Statistics.pdf|The Data Professor's Guide to Basic Statistics]].
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::''I wrote: [[Media:The_Data_Professors_Guide_to_Basic_Statistics.pdf|The Data Professor's Guide to Basic Statistics]].
  
 
* [[Sean G. Carver's Publications|'''Publications''']]
 
* [[Sean G. Carver's Publications|'''Publications''']]
  
 
* [https://www.linkedin.com/in/sean-c-a3181331/ '''LinkedIn Profile''']
 
* [https://www.linkedin.com/in/sean-c-a3181331/ '''LinkedIn Profile''']

Latest revision as of 18:31, 11 November 2023

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

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, although I did not always call myself that. I have also called myself a modeler.


I tutor most STEM fields and mentor data projects that send students to the next level---college, graduate school, or a spectacular career. I have a particular interest and experience in baseball analytics to prepare students to work or study as sports data analysts. Regardless of your field of interest, I can help you design and implement a project or projects that will get you noticed by employers and university admission committees.


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.