Part of Core Optimization within the Routing Team• Improving the performance of our path planning algorithms while incorporating the multiple costs and constraints needed for compliance and exploring new algorithms/paradigms to use• Building the pipelines for transforming geospatial data into application-specific artifacts and providing the means of access to that data by the broader organization• Designing infrastructure to ensure our path planning systems are observable, robust, and performant

Build out an increasingly scalable system of geodatabases, geospatial data services, geodata management tools, spatial analytics dashboards, and path planning and validation software to support global operations.

Conduct geospatial data analysis to support FEMA Catastrophe Modelers and NFIP Actuaries in cleaning, formatting, and reviewing large-scale conventional and geospatial datasets to perform risk rating analysis.• Provide expertise on geospatial data and methodologies, and optimize data processing for ingestion into catastrophe models• Applied supervised machine learning classification models such as XGBoost to predict causes of loss from flooding using various geospatial variables• Developed a pipeline in Python for accessing pixel values from USGS DEM files without compromising PII within a storage-limited environmentIdentified spatial clusters of measurement discrepancies in elevation data through hot spot analysis (Gi*)• Wrote JavaScript functions in Google Earth Engine to generate zonal precipitation statistics by HUC12 for all of CONUS• Simplified the data wrangling and cleansing of catastrophe model outputs with batch files and R scripts• Present findings to senior actuaries through interactive maps (Holoviews, Folium, etc.), reports, and slideshows• Tools used: Python (Pandas/GeoPandas, Dask, XGBoost, Scikit-learn, GDAL), R (Dplyr, Tidyverse), KatRisk

Analyzed and maintained geospatial datasets and optimized their integration across the National Broadband Map cloud environments. Provided policymakers, state organizations, and private industry with information that led to better planning and policy decisions about broadband coverage in rural areas.• Optimized geospatial data uploading and cloning between all Portal and ArcGIS Online environments, increasing turnaround time by 80%• Analyzed, built, and maintained geospatial data for integration into the NBAM cloud environments• Developed automated Python scripts to onboard new users• Used hypothesis testing and permutation testing methods to determine the serving status of US Census tracts based on Ookla speed tests results• Wrote user-guides, tutorial documents, and SOPs outlining proper navigation and utilization of the NBAM and other GIS tools• Tools used: Python, ArcGIS API for Python, ArcGIS Pro, ArcGIS Enterprise Portal, ArcGIS Online, Git, GitLab, SharePoint, Arcade

Work with the Office of Coast Survey Development Lab, creating an automated pipeline for processing EK60 single-beam sonar data collected from NOAA Fisheries Survey Vessels (FSV) for integration into the National Bathymetric Source (NBS) and other Electronic Navigational Charts (ENC).• Developed Python scripts for extracting depth measurements from raw data collected on NOAA fisheries vessels, correcting for tide, sound speed, heave, and draft• Created supportive tools in Python that improved production time and analytic capabilities• Publication: “Hydrography from Fisheries Surveys,” The International Hydrographic Review, Nov. 2020

Assisted the ARIES Program in applying immersive environments and simulations to the content creation and educational programs provided by the University Libraries.• Georeferenced aerial imagery and LiDAR data from excavation sites of World War I battlegrounds for implementation into virtual reality environments• Generated 3D spatial data through photogrammetric processing of digital images