Geospatial Analyst Resume Profile

EXPERIENCE

Confidential

Geospatial Analyst

Work with a team of geologist, hydro-geologist and geophysicists to discover deep fracture system water sources
Use data mining to identify and integrate large datasets, including precipitation, historical water well data and parcel data
Create a unique method to display CSAMT and VLF geophysical survey data using Google Sketchup, ArcScene, and Google Earth
Manipulate LIDAR data using ArcScene to create 3d models, change vertical exaggeration, camera positioning and lighting
Design and implement file structure and version control using ArcCatalog, geodatabases and Windows Server 2012
Set up a data server, administer user profiles and write batch files to automate setting folder properties

Confidential

Human Resource Monitoring:

Designed and implemented a relational database to improve the allocation of human resources within the geospatial department
Built queries to identify projects at risk of missing deadlines, summarize project status
Created system to log professional training, request vacation, manage active project assignments and monitor production
Wrote SQL and Python scripts to integrate Deltek accounting system reports with budgeted hours to forecast deadlines
Assistant Project Manager, Global Shoreline Update:
Managed analysts while creating tools to improve production efficiency and quality to meet tight monthly deadlines
Manually updated a vector file delineating mean sea level, accounting for glaciers, tides and man-made structures
Developed ArcGIS models and used ArcPy to integrate deliverables, automate feature creation and quality control processes
Built a MS Access databases using SQL to generate status reports and identify employee performance problems
Designed and implemented ERDAS models to compare raster values, find errors, discard affected files and print error reports
Task Manager, Global Change Detection Project:
Trained 18 analysts and designed project tasks to create, QC and deliver 30,000 production units every 2 months
Created a database project tracking system that was adopted by all other projects in the geospatial department
Employed multi-threaded coding in Python to use all cores of the computer's CPU
Wrote Python, bcf files and Erdas scripts to stack bands of Landsat images, accounting for scan lines and background values
Used basic UNIX commands to find, list, move, rename, link/unlink files
Project Team Lead, Land Cover Classification Project:
Lead 4 geospatial analysts to classify Landsat scenes into 13 land cover categories extending across the entire earth
Created a semi-automatically classified land cover raster, analyzed and manually edited outputs
Analyzed spectral signatures to identify deforestation, building materials, vegetation classes and river behaviors, erosion
Achieved 90 accuracy based on independent ground-truthing of the delivered classification product

Confidential

Crew Member:

Restored homes affected by water and smoke damage
As a crew chief, lead the cleanup task and assisted in communicating with the homeowner
Demonstrated ability to work in a physically demanding environment while lifting and moving wet carpet and heavy equipment
Organized and inventoried customer's belongings during packing process

Confidential

Master's Project Lead GIS Analyst:

Provided a series of recommendations for the BLM permitting processes regarding utility-scale solar development on public lands
Geoprocessed rasters and employed ArcGIS network analyst to understand the impacts on migration corridors
Simulated the visual impacts of hypothetical facilities using ArcGIS viewshed analysis
Employed raster algebra to rate the vulnerability of habitats and generate a heat map of environmentally sensitive areas

Confidential

GIS Expert:

Developed research methodology and performed field research to analyze the spatial clustering of roadside gardens
Research published in the Journal of Landscape and Urban Planning: Spatial contagion: Gardening along the street in residential neighborhoods Mary Carol R. Hunter, Daniel G. Brown
Surveyed and geocoded 22,000 properties, employed ArcGIS hotspot, cluster, outlier and spatial autocorrelation to analyze data
Modeled the effects of shade tree removal using Google Sketchup and household energy usage records

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