Julia Grove
Artificial Intelligence and Machine Learning Enthusiast
Artificial Intelligence and Machine Learning Enthusiast
This project demonstrates end-to-end machine learning development with data analysis, model training and deployment on AWS SageMaker.
Tech: Jupyter, Python, AWS
GitHub
This project was built on a corpus of golf rules and implements Retrieval Augmented Generation (RAG) to provide accurate, context specific answers
Tech:
GitHubNASA/SSAI
• Developed a Machine Learning pipeline including data ingestion, cleaning, preprocessing and model evaluation to classify help desk tickets for NASA ESDIS.
NASA
• Advanced the development of the U.S. Greenhouse Gas (GHG) Center with NASA IMPACT.
• Analyzed satellite data and extracted descriptive statistics for verification reports.
PPL Electric Utilities
• Designed a cost-effective solution to detect vegetation encroachment across 27,000 miles of power lines.
• Collected, analyzed, and transformed 8 miles of point cloud data using LiDAR technology.