Key Skills

Software

Data Annotation Tech

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Geospatial Tiled Imagery

Top Label Types

Classification

Geocoding

Land Cover Classification

Mapping

Freelancer Overview

I am a geospatial and ecological modeling researcher with hands-on experience applying machine learning to environmental and biodiversity data. My expertise includes data annotation, species distribution modeling, and habitat suitability analysis, where I have labeled and prepared diverse datasets—such as satellite imagery, bioclimatic variables, and soil properties—for use in AI and predictive modeling. I am proficient in Python, R, ArcGIS, and Google Earth Engine, and I have developed and validated training data for machine learning algorithms like Random Forest, Gradient Boosting, MaxEnt, and XGBoost. Through projects involving remote sensing, ecological niche modeling, and climate impact assessment, I have demonstrated strong attention to detail, data quality control, and a commitment to delivering reliable datasets for AI-driven insights in environmental and conservation domains.

Labeling Experience

Education

Work History