Experience
Senior GIS Technician / NV5 Geospatial
October 2019 - Present
- Develop and carry out LiDar derived hydrography workflows
- Analytical support in residential water use and forest biometric analysis
Independent Contractor / GIS & Data Services
June 2019 - October 2019
- UBC: Reproduced a Walkability Index surface model
- UD4H: Wrote a lot of R code to develop consistent and standardized urban health indicators.
Research Analyst / SUPR Lab
January 2017 - January 2018
- Wrangled a ton of spatial and aspatial data into a single PostgreSQL database to inform programmatic decision making at Energy Trust of Oregon
Publications
Link - Antonopoulos C.A., A. Trusty, and V. Shandas. 2020. “The role of building characteristics, demographics, and urban heat islands in shaping residential energy use.” City and Environment Interactions 3. PNNL-SA-144554. doi:10.1016/j.cacint.2020.100021
Skills
GIS & Remote Sensing: Spatial data creation and manipulation, vector and raster analysis, cartographic design, land use classification
Statistics / Machine Learning: Linear regression, spatial regression, random forests, k-NN, multiple imputation, bootstrap sampling
Programming: R (data.table, tidyverse, caret, sf, raster); Python (numpy, pandas, geopandas, rasterio), SQL
Software / OS: Rstudio, PyCharm, Jupyter Lab, QGIS, Git, Google Earth Engine, Windows/Linux
Education
Portland State University, Portland OR
Bachelor of Environmental Science, June 2017
Honors: Cum Laude (3.7 GPA)
Minor: Geographic Information Science