Kimi Monforton

Contact Tracer at GALLATIN CITY-COUNTY HEALTH DEPARTMENT
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Contact Information
us****@****om
(386) 825-5501
Location
Bozeman, Montana, United States, US

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Experience

    • United States
    • Hospitals and Health Care
    • 1 - 100 Employee
    • Contact Tracer
      • Mar 2020 - Aug 2022

      Bozeman, Montana, United States • Contact tracing & case investigation with COVID-positive patients & close contacts • Assisted nurses with vaccine administration • Informed Spanish-speaking patients of COVID regulations & vaccine information • Facilitated communication between employers & covid-positive employees

    • Canada
    • Retail
    • 700 & Above Employee
    • Educator
      • Mar 2022 - May 2022

      United States

    • United States
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • Jun 2021 - Dec 2021

      Bozeman, Montana, United States • Collected and analyzed over 600 well samples from the Crow Indian Reservation for water contamination; presented findings to MSU’s science department in Bozeman, Montana & Little Big Horn College in Crow Agency, Montana • Operated lachect spectrophotometers, oxidation catalysts & other water quality analyzers to measure levels of arsenic, sulfate, & iron concentrations in water samples (www.dropbox.com/s/mgko0glrc09iftz/Monforton%20paper_SE_finaldraft.pdf?dl=0)

    • United States
    • Aviation and Aerospace Component Manufacturing
    • 700 & Above Employee
    • Research Intern
      • Apr 2021 - Aug 2021

      • Projected the urban heat island effect (UHIE) using historical weather patterns & land cover • Used machine learning (Keras sequential model) to identify correlations between factors closely linked to the UHIE • Used Pandas software libraries to manipulate data frames & plot and visualize data • Used software in QGIS Models for Land Use Change Evaluation (MOLUSCE) & high-resolution imagery provided by NASA to accurately predict changes in 2022… Show more • Projected the urban heat island effect (UHIE) using historical weather patterns & land cover • Used machine learning (Keras sequential model) to identify correlations between factors closely linked to the UHIE • Used Pandas software libraries to manipulate data frames & plot and visualize data • Used software in QGIS Models for Land Use Change Evaluation (MOLUSCE) & high-resolution imagery provided by NASA to accurately predict changes in 2022 • Acquired knowledge of Python • Collected field data to compare bodies of water in urban & rural areas • Presented at NASA SEES’ Symposium (Houston, TX) & American Geophysical Union (New Orleans, LA) (www.dropbox.com/s/k2i8hnt9apumgko/NASA%20SEES%20Presentation.pdf?dl=0) Show less

Education

  • Gallatin High School
    2018 - 2022
  • Stanford University
    Computer Science & Chemistry

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