As a Biological Science Technician with experience in the United States Forest Service and the University of Arizona, I have gained a wide range of skills in wildlife observation and monitoring, data collection and analysis, and habitat improvement projects. I have worked with a variety of species including small mammals, birds, fish, reptiles, and amphibians. I have also gained experience in machine learning and artificial intelligence, including the use of programming languages such as Python to research and train Convolutional Neural Networks for object detection and the analysis of JavaScript object notation files. In my roles, I have demonstrated strong compliance with safety rules and regulations and have excelled in both independent and team-based projects. I am adept at summarizing and analyzing data, preparing reports and recommendations, and assembling information for the development of plans and coordination of resource information for analytical reports.
Popular repositories Loading
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microsoft-CameraTraps
microsoft-CameraTraps PublicForked from microsoft/CameraTraps
Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.
Jupyter Notebook
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json-to-CSV
json-to-CSV PublicForked from konklone/json
A free, in-browser JSON to CSV converter.
JavaScript
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Detecting-Species-Camouflage-with-YOLO
Detecting-Species-Camouflage-with-YOLO PublicThis step by step tutorial is intended to provide instructions on how to train a machine learning model to detect species camouflage using YOLOv5 and Google COLAB.
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simple-gan
simple-gan PublicSimple GAN project to showcase the possibilities of generative adversarial networks
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