aerial vievw of people in a boat

Christina

Appleby

Work

Writing

About

Contact

Resumé

Blogger
Self-Employed
2020 - Present
  • Designed and developed website layout and vision of content for markthegreenvan.com
  • Develops relevant and specialty content related to vanlife
  • Actively engages with the vanlife community through Instagram and Reddit


Lead Instructor
Black Rocket Productions
2019
  • Taught STEM subjects to students ages 8 – 14 in a summer camp environment
  • Ensured students not only learned the subject material but also had fun
  • Encouraged student to explore their own topics of interest related to the subject


Tutor
Wyzant
2018 - 2019
  • Tutored primarily high school, college and adult students in one-on-one sessions
  • Presented math and electronics information topics on individual levels
  • Specialized in Armed Services Vocational Aptitude Battery (ASVAB) preparation


Coastal Fellow
University of Rhode Island Environmental Data Center, Kingston, RI
2017 - 2018
  • Researched the effectiveness of using unmanned aerial systems (UAS) for natural resources mapping
  • Planned UAS missions to efficiently collect quality imagery for mapping and used imagery to create maps
  • Created web map applications in ArcGIS Online to share geospatial information with the public


Electronics Technician Nuclear (E7)
United States Navy
2001 - 2012
  • Supervised a team of 12 personnel to operate and maintain a nuclear power reactor, a position normally held by a commissioned officer
  • Scheduled reactor equipment maintenance work and assignments for a team of 26 personnel with 100% on-time completion
  • Coordinated between reactor department operations manager and five project teams for the preparation and execution of operational audits to ensure peak performance
University of Rhode Island, Kingston, RI

B.S. in Environmental and Natural Resource Economics

May 2018

GPA 3.97/4.0, Dean's List (all semesters)

Coursework: Natural Resource Economics, Cost-Benefit Analysis, Econometrics, Programming for Data Science, Statistical Methods in Research I

Software: proficient in Microsoft Office

Programming: familiar with Python, Java, HTML and CSS