Item talk:Q49650: Difference between revisions

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usgs_staff_profile:
USGS Staff Profile:
   meta:
   '@context': https://schema.org
    url: https://www.usgs.gov/staff-profiles/samantha-sullivan
  '@type': Person
    timestamp: '2024-01-30T21:12:27.301341'
   affiliation: []
    status_code: 200
  description:
   profile:
  - '@type': TextObject
    name: Samantha Sullivan
     abstract: Statistician with the New Jersey Water Science Center
    name_qualifier: null
    additionalType: short description
     titles:
  - '@type': TextObject
    - Statistician
     abstract: Samantha is a Statistician for the USGS. She is working with the NAWQA
    organizations:
       team to help convert code from SAS to R that performs data wrangling and nutrient
    - !!python/tuple
      - New Jersey Water Science Center
      - https://www.usgs.gov/centers/new-jersey-water-science-center
    email: ssullivan@usgs.gov
    orcid: null
     intro_statements:
    - Samantha is a Statistician for the USGS. She is working with the NAWQA team
       to help convert code from SAS to R that performs data wrangling and nutrient
       calculations on water quality data across the United States.
       calculations on water quality data across the United States.
     expertise_terms: []
     additionalType: staff profile page introductory statement
     professional_experience: []
  - '@type': TextObject
     education:
     abstract: Samantha Sullivan began her career at the USGS as a Pathways Intern
     - Bachelor of Science degree in Mathematics with a specialization in Statistics
      in 2016. During this time, she helped code a program from SAS to R that performed
      MOVE.1 regression to estimate characteristics of low flows. For her senior project,
      she implemented multiple regression, score regression models, and cluster analysis
      to estimate flood magnitude and frequency for NJ streams and rivers. Lastly,
      she utilized change point analysis to detect changes in loads due to the increasing
      implementation of management practices in agricultural and urban areas designed
      to decrease stream loads. Currently, Samantha is a Statistician for the USGS.
      She is working with the NAWQA team to help convert code from SAS to R that performs
      data wrangling and nutrient calculations on water quality data across the United
      States. She is also updating streamflow statistics for continuous-record streamflow
      gaging stations and low-flow partial-record stations. Within the realm of statistics,
      Samantha interests are in nonparametric statistics, multivariate statistics,
      regression analysis, statistical programing, data wrangling, data analysis,
      and data modeling. She wants to use her statistics knowledge in order to help
      the USGS organize, describe, and interpret their data.
     additionalType: personal statement
  email: ssullivan@usgs.gov
  hasCredential:
  - '@type': EducationalOccupationalCredential
     name: Bachelor of Science degree in Mathematics with a specialization in Statistics
       from The College of New Jersey in 2017
       from The College of New Jersey in 2017
    affiliations: []
  hasOccupation:
    honors: []
  - '@type': OrganizationalRole
     abstracts: []
     affiliatedOrganization:
    personal_statement: Samantha Sullivan began her career at the USGS as a Pathways
      '@type': Organization
       Intern in 2016. During this time, she helped code a program from SAS to R that
       name: New Jersey Water Science Center
       performed MOVE.1 regression to estimate characteristics of low flows. For her
       url: https://www.usgs.gov/centers/new-jersey-water-science-center
      senior project, she implemented multiple regression, score regression models,
    roleName: Statistician
      and cluster analysis to estimate flood magnitude and frequency for NJ streams
    startDate: '2024-05-12T15:19:55.840431'
      and rivers. Lastly, she utilized change point analysis to detect changes in
  identifier:
      loads due to the increasing implementation of management practices in agricultural
  - '@type': PropertyValue
      and urban areas designed to decrease stream loads. Currently, Samantha is a
    propertyID: GeoKB
      Statistician for the USGS. She is working with the NAWQA team to help convert
    value: https://geokb.wikibase.cloud/entity/Q49650
       code from SAS to R that performs data wrangling and nutrient calculations on
  jobTitle: Statistician
       water quality data across the United States. She is also updating streamflow
  knowsAbout: []
      statistics for continuous-record streamflow gaging stations and low-flow partial-record
  memberOf:
      stations. Within the realm of statistics, Samantha interests are in nonparametric
    '@type': OrganizationalRole
      statistics, multivariate statistics, regression analysis, statistical programing,
    member:
      data wrangling, data analysis, and data modeling. She wants to use her statistics
       '@type': Organization
      knowledge in order to help the USGS organize, describe, and interpret their
       name: U.S. Geological Survey
      data.
    name: staff member
    startDate: '2024-05-12T15:19:55.837578'
  name: Samantha Sullivan
  url: https://www.usgs.gov/staff-profiles/samantha-sullivan

Revision as of 17:02, 12 May 2024

USGS Staff Profile:

 '@context': https://schema.org
 '@type': Person
 affiliation: []
 description:
 - '@type': TextObject
   abstract: Statistician with the New Jersey Water Science Center
   additionalType: short description
 - '@type': TextObject
   abstract: Samantha is a Statistician for the USGS. She is working with the NAWQA
     team to help convert code from SAS to R that performs data wrangling and nutrient
     calculations on water quality data across the United States.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: Samantha Sullivan began her career at the USGS as a Pathways Intern
     in 2016. During this time, she helped code a program from SAS to R that performed
     MOVE.1 regression to estimate characteristics of low flows. For her senior project,
     she implemented multiple regression, score regression models, and cluster analysis
     to estimate flood magnitude and frequency for NJ streams and rivers. Lastly,
     she utilized change point analysis to detect changes in loads due to the increasing
     implementation of management practices in agricultural and urban areas designed
     to decrease stream loads. Currently, Samantha is a Statistician for the USGS.
     She is working with the NAWQA team to help convert code from SAS to R that performs
     data wrangling and nutrient calculations on water quality data across the United
     States. She is also updating streamflow statistics for continuous-record streamflow
     gaging stations and low-flow partial-record stations. Within the realm of statistics,
     Samantha interests are in nonparametric statistics, multivariate statistics,
     regression analysis, statistical programing, data wrangling, data analysis,
     and data modeling. She wants to use her statistics knowledge in order to help
     the USGS organize, describe, and interpret their data.
   additionalType: personal statement
 email: ssullivan@usgs.gov
 hasCredential:
 - '@type': EducationalOccupationalCredential
   name: Bachelor of Science degree in Mathematics with a specialization in Statistics
     from The College of New Jersey in 2017
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: New Jersey Water Science Center
     url: https://www.usgs.gov/centers/new-jersey-water-science-center
   roleName: Statistician
   startDate: '2024-05-12T15:19:55.840431'
 identifier:
 - '@type': PropertyValue
   propertyID: GeoKB
   value: https://geokb.wikibase.cloud/entity/Q49650
 jobTitle: Statistician
 knowsAbout: []
 memberOf:
   '@type': OrganizationalRole
   member:
     '@type': Organization
     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T15:19:55.837578'
 name: Samantha Sullivan
 url: https://www.usgs.gov/staff-profiles/samantha-sullivan