Summary

GIS professional combining advanced remote sensing expertise with real-world operational experience across federal intelligence, environmental conservation, and disaster response. Performs quality assurance on satellite imagery feature collection for federal GEOINT customers while also operating a UAV mapping business serving communities and federal agencies including the National Park Service. Skilled in remote sensing, Python automation, and photogrammetry workflows using ArcGIS Pro, QGIS, and Google Earth Engine, with experience spanning multi-criteria suitability analysis, supervised classification, and crisis mapping applications. Has delivered geospatial products supporting post-disaster infrastructure assessment, intertidal habitat monitoring for coastal parks, and automated flood-extent mapping from Sentinel-1 radar data.

Holds a Bachelor's degree in Geospatial Science (4.0 GPA), FAA Part 107 certification, and over 1,000 UAV flight hours. Equally comfortable conducting missions in complex terrain, building automation pipelines, or translating technical insights for non-technical stakeholders. Seeks to apply this blend of analytical problem-solving and field-tested expertise to environmental monitoring, disaster response, and intelligence applications.

Skills and Abilities

GIS Analysis & Spatial Methods

  • Executed advanced spatial analysis workflows in ArcGIS Pro and QGIS including multi-criteria decision analysis, overlay operations, and proximity modeling for environmental suitability assessments
  • Developed hydrological modeling workflows including watershed delineation, flow accumulation, and stream network extraction from high-resolution DEMs
  • Applied terrain analysis techniques including slope, aspect, and hillshade calculations to support ecological habitat modeling and infrastructure planning
  • Executed viewshed analysis and line-of-sight modeling for telecommunications tower placement and visual impact assessments
  • Conducted cost-distance analysis and least-cost path routing to identify optimal corridor locations while minimizing environmental impact
  • Executed coordinate system transformations and projection management ensuring geometric accuracy across multi-source datasets spanning different spatial reference systems
  • Developed raster analysis workflows using map algebra operations for land suitability modeling and environmental change detection
  • Conducted time-series spatial analysis tracking temporal changes in land use patterns and environmental conditions
  • Applied vector data analysis techniques including spatial joins, relationship classes, and geometric calculations for feature attribution and spatial relationship assessment
  • Performed hot spot analysis and spatial autocorrelation using Moran's I and Geary's C statistics to identify statistically significant clustering patterns in species distribution data
  • Conducted geostatistical analysis and spatial interpolation using Kriging and IDW methods to predict continuous surface values from discrete point measurements

Remote Sensing & Image Processing

  • Processed Sentinel-1 SAR imagery in Google Earth Engine implementing polarization band math algorithms (VH²+VV², VH²×VV²) with global normalization for automated, cloud-penetrating flood extent detection.
  • Executed complete supervised machine learning classification workflows in ArcGIS Pro mapping intertidal species distribution for National Park Service including mussel beds, algae mats, and substrate types
  • Extracted spectral signatures and applied band math for vegetation indices (NDVI, NDRE, EVI, SAVI) supporting ecological research, plant health analysis, and agricultural monitoring applications
  • Performed radiometric calibration and atmospheric correction of multispectral imagery producing calibrated reflectance products suitable for quantitative spectral analysis
  • Implemented adaptive speckle filtering using 50m circular convolution kernels to suppress SAR noise while preserving edge integrity and small-scale hydrological features
  • Performed georectification and orthorectification of satellite and aerial imagery achieving sub-pixel geometric accuracy through ground control point integration
  • Conducted accuracy assessments including confusion matrix analyses, producer's/user's accuracy calculations, and ground truth validation for classified products
  • Executed pan-sharpening and image fusion workflows combining high spatial resolution panchromatic and lower resolution multispectral data
  • Developed automated image classification algorithms scalable across multiple watersheds without site-specific retraining or parameter tuning

Photogrammetry & 3D Processing

  • Executed complete photogrammetry workflows in Agisoft Metashape processing thousands of images to produce radiometrically calibrated orthomosaics and digital surface models (DSMs) with 6cm spatial resolution
  • Performed point cloud classification and segmentation using machine learning algorithms extracting terrain, vegetation, and infrastructure features from dense point clouds
  • Generated high-accuracy digital elevation models (DEMs) and digital surface models (DSMs) using cloth simulation filtering (CSF) algorithms in cloudCompare for flood assessment and hydrological modeling
  • Conducted dense point cloud generation and filtering producing millions of 3D points per project for detailed topographic reconstruction
  • Executed ground point classification and bare earth extraction separating terrain from above-ground features
  • Conducted photogrammetric accuracy assessment comparing ground control point coordinates with model-derived values
  • Applied point cloud noise filtering and outlier removal techniques improving data quality for subsequent classification
  • Generated cross-sections and profile analyses from point cloud data supporting infrastructure design and monitoring
  • Developed post-processing workflows optimizing computational efficiency while maintaining geometric accuracy

Programming & Automation

  • Developed Python scripts using geospatial and database libraries including ArcPy, GDAL, GeoPandas, and Pyproj automating complex spatial analysis workflows
  • Built custom automation tools streamlining repetitive tasks across multi-analyst teams, reducing processing time for teamwide workflows by up to 85%
  • Created ArcGIS Python Toolboxes with custom geoprocessing tools featuring user-friendly interfaces and comprehensive error handling
  • Developed Google Earth Engine JavaScript applications for large-scale geospatial analysis leveraging cloud-based parallel processing capabilities
  • Implemented version control workflows using Git and GitHub for collaborative code development and documentation
  • Developed automated reporting tools generating standardized map products, statistical summaries, and quality control documentation
  • Implemented performance optimization techniques including spatial indexing, query optimization, and efficient data structure selection
  • Developed automated map production workflows generating publication-ready cartographic products with consistent symbology and layout
  • Built Model Builder workflows in ArcGIS for complex multi-step geoprocessing operations accessible to non-programmer analysts
  • Developed reproducible analysis workflows combining raster algebra, vector operations, and statistical modeling for ecological research applications

UAV Operations & Field Data Collection

  • Conducted precision UAV surveys across multiple environments achieving centimeter-level spatial accuracy through integrated RTK GPS and ground control point methodologies
  • Managed complete UAV workflow including mission planning, preflight planning around environmental constraints, field operations, and post-processing deliverable production
  • Calibrated and synchronized multispectral sensors across multiple UAV platforms executing coordinated simultaneous flight missions for enhanced spatial coverage and data redundancy
  • Designed complex mission plans optimizing flight parameters (altitude, overlap, camera angles) for diverse terrain conditions and sensor requirements
  • Conducted preflight site assessments evaluating airspace restrictions, terrain obstacles, meteorological conditions, and safety hazards
  • Maintained FAA Part 107 compliance including airspace authorizations, LAANC approvals, waiver applications, and operational recordkeeping
  • Achieved 1,000+ flight hours with zero safety incidents demonstrating operational excellence and comprehensive risk management
  • Executed multispectral UAV surveys during optimal environmental windows (lowest tides, peak vegetation, minimal cloud cover) maximizing data quality
  • Performed UAV sensor payload configuration and calibration including multispectral cameras, thermal imagers, and precision GPS equipment
  • Provided field training to research teams on GPS survey techniques, ground control point collection procedures, and data quality assurance
  • Maintained detailed flight logs, safety documentation, and operational records meeting regulatory requirements and client specifications

Technical Communication & Collaboration

  • Provided technical consultation to researchers and agencies on sensor selection, mission planning, and data processing methodologies
  • Translated complex geospatial concepts and methodologies for non-technical stakeholders and resource managers through clear visualizations and plain-language explanations
  • Delivered stakeholder presentations and technical briefings effectively communicating analytical findings and project outcomes
  • Collaborated with resource specialists, ecologists, and scientists ensuring geospatial products meet specific research needs and scientific standards
  • Conducted client consultations and requirements gathering translating business needs into technical specifications
  • Coordinated remote team initiatives utilizing collaboration platforms fostering knowledge sharing across distributed workforce
  • Mentored junior analysts on imagery interpretation, classification techniques, quality control procedures, and production standards
  • Participated in cross-functional team collaboration coordinating between GIS analysts, software developers, and subject matter experts
  • Presented geospatial analysis findings through visual presentations combining maps, charts, and narrative explanations

Database & Data Management

  • Designed and implemented geodatabase schemas including feature classes, relationship classes, domains, and subtypes supporting complex spatial data models
  • Executed spatial data quality assessment and accuracy validation against ground truth data and authoritative reference sources
  • Performed topology validation and error correction identifying and resolving geometric inconsistencies including gaps, overlaps, and dangles
  • Conducted attribute accuracy assessment and data validation implementing business logic rules and domain constraints
  • Executed data migration and format conversion between multiple geodatabase formats (file geodatabase, enterprise geodatabase, shapefiles, GeoJSON)
  • Implemented database performance optimization including spatial indexing, query optimization, and table partitioning strategies
  • Administered multi-user enterprise geodatabases managing permissions, versioning workflows, and conflict resolution
  • Tracked quality metrics and production statistics supporting performance monitoring and continuous process improvement
  • Applied standardized QA checklists ensuring consistent evaluation criteria across all product types and data sources

Employment History

GIS Quality Assurance – CACI International Inc.

August 2021 – Present

I perform quality assurance on geospatial datasets for federal intelligence clients, ensuring satellite imagery products meet accuracy standards. I develop Python automation tools that streamline team workflows and mentor junior analysts on imagery interpretation and quality control procedures.

  • Execute quality control procedures on digitized geospatial features including buildings, roads, infrastructure, and terrain annotations for federal intelligence agencies
  • Develop Python automation scripts streamlining digitization workflows, reducing manual processing time and improving production efficiency across multi-analyst teams
  • Implement automated quality control tools to identify topology errors, attribute inconsistencies, and geometric anomalies in large-scale geospatial datasets
  • Mentor junior imagery analysts on satellite imagery interpretation techniques, quality control procedures, and intelligence community production standards
  • Lead remote team coordination initiatives utilizing collaboration platforms fostering knowledge sharing across distributed workforce
  • Verify attribute data consistency and compliance with data dictionary requirements across multiple feature classes
  • Track quality metrics and production statistics supporting performance monitoring and project reporting
  • Execute rework and correction tasks on products returned from client review, incorporating feedback and ensuring revised deliverables meet updated specifications

Owner/Pilot – Levitate Drones

December 2016 – Present

Founded and operate a specialized UAV services company providing high-precision geospatial data products to federal agencies and research organizations. Build client relationships, execute field operations, and deliver scientific-grade mapping products for environmental research applications.

  • Provide mapping services to National Park Service, university research programs, and municipal agencies for ecological monitoring and post-disaster assessment projects
  • Planned and executed UAV missions across diverse environments including coastal zones, riparian corridors, and urban-wildland interfaces
  • Produced orthomosaics, elevation models, and multispectral imagery products meeting scientific research standards for peer-reviewed studies
  • Processed thousands of aerial images into georeferenced data products using Agisoft Metashape and Pix4D photogrammetry software
  • Generated terrain models and vegetation analysis products from point cloud data supporting habitat assessment and hydrological studies
  • Advised clients on project scoping, sensor capabilities, accuracy requirements, and deliverable formats during consultation phase
  • Maintained perfect safety record across 1,000+ flight hours while completing 100% of contracted projects on schedule
  • Coordinated field operations around environmental constraints including tidal cycles, weather windows, and wildlife considerations
  • Secured airspace authorizations and maintained regulatory compliance for operations in controlled airspace and special use areas
  • Documented project methodologies and accuracy results in technical reports for research publications and agency archives
  • Provided GIS-compatible deliverables integrated with client databases for ongoing monitoring and comparative analysis
  • Communicated technical workflows and data quality considerations to researchers from ecology, geology, and engineering disciplines

Store Manager – FedEx Office

June 2008 – January 2017

Led retail operations for a high-volume location, balancing customer service delivery with team development and business performance goals. Developed staff capabilities while maintaining operational standards and service quality metrics.

  • Managed daily operations including staffing allocation, workflow scheduling, and performance objectives ensuring consistent service delivery
  • Recruited, interviewed, and hired team members evaluating candidates for technical aptitude, customer service skills, and cultural fit
  • Developed and delivered comprehensive training programs for new hires covering technical systems, customer service protocols, and operational procedures
  • Coached team members on performance improvement through regular feedback sessions, skill assessments, and professional development planning
  • Monitored key performance indicators (KPIs) tracking productivity metrics, quality standards, and operational efficiency
  • Managed budgets, inventory control, and resource allocation optimizing cost efficiency while maintaining service quality standards
  • Resolved customer complaints and escalated issues applying problem-solving frameworks and conflict resolution techniques
  • Ensured compliance with company policies, safety regulations, and operational procedures through regular audits and staff training
  • Analyzed operational data identifying performance trends and implementing corrective actions to improve outcomes

Education

Geospatial Science (GIS), Bachelor of Applied Science

Front Range Community College – Boulder, Colorado

Summa Cum Laude – Focus on GIS and Remote Sensing


Certifications

  • Part 107 UAV Pilot
  • Geographic Information Systems
  • Natural Resources GIS
  • Foundations of GIS