I am interested in using spatial data science methods for the purposes of supporting data-driven decision making.
Over the last few years, I worked on coastal remote sensing projects with Professor Cavanaugh's lab at UC Los Angeles, and NASA's DEVELOP program:
Currently, I'm working on further advancing my geospatial analysis and cartography skills to create interactive maps and charts. It's a work in progress but I recently started building a R Shiny App to visualize and document my solo travel journey through Thailand. In my free time I've been playing around with Mapbox to create diverse mapping applications:
🌿 I am an instructor with The Carpentries. I mostly lead and/or co-teach workshops on the fundamentals of Python and R.
👯 I’m interested in learning more about how to apply creative graphic design skills that I've learned in the past (see portfolio) towards developing visually appealing and informative maps.
Sep 2017 - Jun 2021 : University of California, Santa Barbara (UCSB)
- Bachelor of Science, Environmental Studies
Nov 2021 - Dec 2022 : University of California, Los Angeles, Remote Sensing Technician, Los Angeles, CA
- Collected, processed, and analyzed UAV (drone) imagery of kelp canopy coverage along the California coast
- Used a combination of spectral and machine learning methods to classify kelp in remote sensing data
- Planned and operated UAV flights with the purpose of collecting data for long term research project
Jun 2021 - Nov 2021 : NASA DEVELOP, Project Member and Team Data Manager, Ames Research Center, Mountain View, CA
- Helped generate a 20-year time series analysis for monitoring water quality along Southern Florida seaports to assess harbor deepening impacts on coral reef tracts
- Processed and analyzed Landsat 5, 7, 8, Sentinel-2, and Aqua MODIS imagery for turbidity and sedimentation
- Wrote a script in Python to cross-validate remote sensing data (Aqua MODIS and VIIRS) with in situ data to assess validity in using NASA Earth observations for coastal resource monitoring
Mar 2021 - July 2021 : UCSB Earth Research Institute, Research Assistant, Santa Barbara, CA
- Assisted Dr. Andrew MacDonald with NSF-funded research focused on modeling the spread of COVID-19 and understanding risk factors for transmission in the US
- Used ArcGIS Pro to manage and analyze data on California smoke and wildfires, with the use of ModelBuilder to make reproducible workflows
- Curated maps to visualize the relationship between California wildfires and the spread of COVID-19
Oct 2020 - Jun 2021 : National Center for Ecological Analysis and Synthesis, Data Intern, Santa Barbara, CA
- Documented and archived data from environmental research projects using RStudio
- Participated in collaborative data management, metadata creation, and data quality assurance
- Communicated with scientists to contribute to the National Science Foundation Arctic Data Center catalog
Senior Thesis : Comparing the effectiveness of vessel speed reduction programs in reducing the risks of whale-ship strikes
Advisors: Dr. Jennifer Selgrath, Dr. Ryan Freedman, Jessica Morten
- Completed an independent research project through UCSB’s Environmental Studies department under the supervision of the National Oceanographic and Atmospheric Administration (Available upon request)
- Processed Automatic Identification System (AIS) data into tracklines with RStudio, and utilized ArcGIS Pro to quantify the effectiveness of vessel speed reduction programs in reducing whale-ship strikes
💻 Programming : R, Python, MatLAB
🌐 GIS : ArcGIS Pro, QGIS, Google Earth Engine
✏️ Creative Software : Adobe Illustrator, Adobe Photoshop, Adobe InDesign
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent