Grace Markell

About Grace Markell

I’m a data analyst with experience in Python, data visualization, and geospatial analytics, with a focus on turning complex datasets into actionable insights. I’ve worked across remote sensing and environmental data, building workflows and tools that support analysis at scale. I’m particularly interested in applying data analytics to business and telecommunications contexts—using data to better understand performance, optimize processes, and support data-driven decision-making across teams.

Experience

1. Seasonal Gis Analyst

   John Deere

   Apr 2026 — Present · St Paul, MN, US

   In this role, I utilize drone imagery and geospatial data to support agricultural analysis and informed decision-making. I focus on turning high-resolution imagery into meaningful insights by combining remote sensing, GIS, and analytical workflows. The work involves both technical processing and interpretation, with an emphasis on producing accurate, actionable outputs for internal teams and clients-Process drone imagery into georeferenced mosaics using stitching software-Analyze raster and vector data to assess field conditions across farms and orchards-Apply internal tools and models to extract insights from large-scale imagery datasets-Create maps, reports, and spatial data products to communicate findings-Build and refine polygon layers representing field trials and experimental zones-Perform zonal analysis using a mix of automated tools and manual workflows-Use computer vision–based tools to detect and evaluate weed presence-Conduct quality assurance on spatial outputs, including editing and validating shapefiles-Prepare finalized data products for delivery to clients-Communicate project progress and results with team leads and collaborators

Education

• Florida Gulf Coast University

  Bachelor of Science - BS, Marine Sciences