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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
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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.
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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 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.''
  
* [[Sean G. Carver's Teaching and Course Development|'''Teaching and Course Development''']]
 
  
::[[Syllabus:_Math_155_Spring_2014|'''Math 155''']]
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* [[Sean G. Carver's Current Research and Data Science Projects|'''Current Research and Data Science Projects''']]  
  
::[[Syllabus:_Math_211_Spring_2014|'''Math 211''']]
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::''Baseball Research Showcase for Undergraduates:'' http://baseball.seancarver.org/novelty.html
  
''In Spring 2009, I developed and taught at Johns Hopkins: [[ID_Course_Johns_Hopkins_Spring_2009|Modeling and Identifying Neurosystems]].''
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* [https://medium.com/@SeanCarverData '''Blog''']
  
* [[Sean G. Carver's Research Interests|'''Research Interests''']]  
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* [https://github.com/seancarverphd '''GitHub Repo''']
  
''I am currently working on control theory where the agent(s) rely on noisy clock(s), and the system identification of cooperative control.''
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* [[Sean G. Carver's Teaching and Course Development|'''Teaching and Course Development''']]
  
''Click [[Project_2014|here]] for my 2014 summer research plans.
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::''In Spring 2017, I taught Stat 370, [[Syllabus:_Stat_370_Spring_2017|''Introduction to Statistical Computing and Modeling'']].
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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.''
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* [[Sean G. Carver's Textbook Collaborative Authoring|'''Textbook Collaborative Authoring''']]
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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''']]
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* [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.