More about my career and skills!

I am a geospatial data scientist specializing in multi-sensor fusion techniques, integrating high-resolution SAR (ICEYE, Sentinel-1), optical (Planet, Sentinel-2, Landsat), and LIDAR (GEDI, PCL) data with advanced models for land use classification, change detection, and ecosystem impact assessment. Demonstrated expertise in applying remote sensing to ecology and conservation challenges.

Pursuing a Master of Science in Geography with a concentration in Remote Sensing and Geospatial Research at the University of Massachusetts Amherst, developing cross-disciplinary methodologies for crop area mapping via multi-temporal imagery analysis. As a Teaching Assistant for Remote Sensing, GIS, and Python for GIS courses, earned the TA of the Year award (2024) in the Earth Sciences department (ECGS). My thesis, "Evaluating Multi-Temporal Optical and Radar Imagery for Crop Area Mapping in the US," utilizes Python, Google Earth Engine, R, MATLAB, and ESRI tools to process large-scale datasets and generate insights for agricultural and environmental applications.

In my role as Lead Geospatial Analyst at Collaborative Earth, I direct the remote sensing for the Beaver Lab, deploying CNNs and automated workflows in Python and Google Earth Engine to model beaver dam dynamics, derive spectral indices and terrain metrics across large sites, and build interactive web applications for data delivery. At Defenders of Wildlife, I developed predictive land use change models and geodatabases using ArcGIS Pro, supporting the PLACE project and co-authoring a white paper on Ocklawaha Dam restoration. With the US Forest Service, conducted bear behavior monitoring and established the @bears_of_anan social media platform, achieving 75,000+ followers and 10M+ views to support outreach. At Dartmouth College (BA in Biology, High Honors), senior thesis on gliding mammal evolution- integrating LIDAR, Sentinel, and biodiversity data- received the Chris Reed Award for Biology.

Technical Proficiencies: Remote Sensing & GIS (Google Earth Engine, AWS, ArcGIS Pro/Online, QGIS); Programming (Python, R, MATLAB, JavaScript); Data Visualization; Machine Learning Applications in Spatial Analysis.

Focused on interdisciplinary projects, technical communication, and deploying geospatial tools for risk assessment, land restoration, and regenerative agriculture. Seeking roles in remote sensing, environmental consulting, or geospatial analytics to deliver high-impact solutions.

I’m a geospatial scientist with a background in ecology, remote sensing, and spatial data analysis. I have always been driven by a curiosity about the natural world, and how we can harness spatial data and technology to better understand and manage it. My experience spans remote sensing, GIS analysis, and modeling, with a focus on producing research that informs practical solutions. I’m drawn to projects that apply these tools to real-world problems, whether in conservation, resource management, or environmental planning. Click here to see some of my research!