Item talk:Q49650

usgs_staff_profile:

 meta:
   url: https://www.usgs.gov/staff-profiles/samantha-sullivan
   timestamp: '2024-01-30T21:12:27.301341'
   status_code: 200
 profile:
   name: Samantha Sullivan
   name_qualifier: null
   titles:
   - Statistician
   organizations:
   - !!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.
   expertise_terms: []
   professional_experience: []
   education:
   - Bachelor of Science degree in Mathematics with a specialization in Statistics
     from The College of New Jersey in 2017
   affiliations: []
   honors: []
   abstracts: []
   personal_statement: 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.