Experience

Climate

• United States
• Technology, Information and Internet
• 700 & Above Employee

• Senior Data Analyst

  • Jun 2022 - Present



Envision

• United States
• Staffing and Recruiting
• 300 - 400 Employee

• Data Scientist

  • Mar 2021 - Jun 2022

  Geospatial processing and exploratory analysis of agricultural data at the subfield level for further use in machine and deep learning models. * Python * SQL * Gitlab * AWS * Spark * CI/CD Geospatial processing and exploratory analysis of agricultural data at the subfield level for further use in machine and deep learning models. * Python * SQL * Gitlab * AWS * Spark * CI/CD



RedCastle Resources, Inc.

• United States
• Information Technology & Services
• 1 - 100 Employee

• Remote Sensing Analyst

  • Jul 2013 - Mar 2021

  • Provide support to the Forest Service Region 1, Remote Sensing and Geospatial Programs • Vegetation mapping, ecological monitoring and vegetation change detection through remote sensing, machine learning and spatial modeling • Collaborate with Forest Service GIS Analysts and Scientific Specialists to create work-flows, accomplish tasks and produce deliverable data and geospatial analyses • Python, R and JavaScript for scripting, data visualization and application development • Git and GitHub for version control of scripts and applications • Produce analyses using Landsat, MODIS and Sentinel-2 imagery in Google Earth Engine • Create extract, transform and load routines using Feature Manipulation Engine (FME) • Manage content and administer users in ArcGIS Online via the ESRI REST and Python APIs • Use of software such as ArcGIS Desktop, GDAL, ERDAS Imagine and Trimble eCognition • Create and maintain geospatial metadata for current and ongoing projects • Provide detailed instruction and documentation of tools, scripts and applications • Plan, organize and implement field campaigns to gather vegetation training data Show less



USDA Natural Resources Conservation Service

• United States
• Government Administration
• 1 - 100 Employee

• Soil Technician

  • 2011 - 2011

  • Collect field data for analysis of soil carbon storage and classification of soil at the landscape scale. • Data entry and management using Microsoft Access. • Use of GPS systems such as Delorme and Garmin. • Use of ESRI ArcGIS Desktop to display spatial data. • Collect field data for analysis of soil carbon storage and classification of soil at the landscape scale. • Data entry and management using Microsoft Access. • Use of GPS systems such as Delorme and Garmin. • Use of ESRI ArcGIS Desktop to display spatial data.



U.S. Forest Service

• United States
• Government Administration
• 700 & Above Employee

• Hydrologic Technician

  • 2008 - 2010

  • Implement Forest Service protocols to collect data pertinent to soil and hydrologic processes. • Select, monument, and measure stream cross-sections, longitudinal profiles, and discharge, perform pebble counts and use Rosgen stream classification system. • Use Page-Dumroese soil disturbance data collection protocol. • Use of Garmin GPS, and Marsh-McBirney flow meter. • Data processing and analysis using Microsoft Access and Excel, as well as ESRI ArcGIS Desktop. • Collaborate with soil scientists and hydrologic technicians to write reports related to soil disturbance and function. Show less