🌎 Passionate about remote sensing, AI, and stats 🎓 MSc Borderlands Research Institute, Sul Ross State University - Pronghorn Movement Ecology 🔍 Research Interests: machine learning algorithms, computer vision, and animal movement models🌱 Seeking opportunities to gain industry experience through internshipsProjects 🛰️ Machine Learning Image Classification Algorithm for Remote Sensing Roads and Well Pads 🛰️•Used R to develop and train an AI algorithm using SVM classifier to segment satellite imagery to detect oil and gas well pads and roads over a large spatial landscape (320,000 acres)•Deployed and generated confusion matrix with 92% accuracy, contributing to more accurate public oil infrastructure datasets🌽 NC Plant Science Initiative Hackathon 1st place for Excellence and Interpretation of AI in Precision Agriculture 🌽•Used Python to create and develop a KNN algorithm to predict corn yield while minimizing RMSE using large (33,000 column) genotypic dataset provided by BAYER🔎 Computer Vision Individual Pronghorn Detection using Convolutional Neural Network 🔎•Used R and Python to train CNN to detect individual pronghorn based on coat pattern characteristics from camera trap images🦌 Integrated Step-Selection Functions for Species Distribution Models 🦌•Used hourly GPS movement data to fit and forecast ungulate movement models based on patterns of habitat selection•Implemented PRISM Climate Data API to acquire 3 years of climate data to use as predictors of ungulate movement🔗