Trevor Dalton

• Designed an agentic eReceipt tagging pipeline using LangGraph, BM25 retrieval, and OpenAI/Anthropic LLMs to automatically classify thousands of daily transactions against a video game product taxonomy
• Fine-tuned multiple BERT-based classification models using PyTorch and Hugging Face to automate large-scale data labeling and improve data accuracy with F1-scores above 98%. Deployed models with MLflow, streamlining operations and cutting manual effort by 50%
• Derived actionable insights from large-scale video game sales data using SQL and Python, uncovering user behavior trends to inform client product strategy and marketing decisions
• Construct PySpark/SQL ETL pipelines for full raw-to-deliverable processing of large-scale data
• Optimize AWS EC2 configurations to cut pipeline costs and runtime by as much as 60%
• Developed DataOps-controlled pipeline orchestration systems, reducing runtimes by over 20%

• Engineered a JavaScript multi-source ETL pipeline to connect, aggregate and analyze data
• Designed frontend interface for a master data pipeline to derive insights from enterprise application data
• Developed an Ontology-driven ETL Orchestration tool used by 50+ developers using React
• Built scalable desktop applications using React, Node.js, TypeScript, and Electron
• Developed machine learning and graph database models for supply chain and maintenance forecasting to mitigate risk and reduce lifetime costs of advanced weapons systems
• Delivered valuable insights on large datasets using statistical analysis and MatPlotLib visualizations

The MIDS program at the Berkeley School of Information is recognized as one of the nation's top-tier data science programs. The program's focus on collaborative problem-solving has taught me how to form effective teams from a diverse set of individuals.

• Natural Language Processing
• Time Series and Panel Data Analysis
• Computer Vision
• Experiments and Causal Inference
• Machine Learning
• Data Engineering
• Statistics
• Research Design and Analysis

Utah's preeminent research institution and where I first cut my teeth at software development. Despite the challenging curriculum I was able to thrive thanks to the help of my peers and professors who offered ample support.

• Algorithms
• Artificial Intelligence
• Data Visualization
• Operating Systems
• Database Systems
• Machine Learning
• NLP
• Information Systems
• Computer Systems

Taking full advantage of the Success Academy Program I engaged in concurrent enrollment classes which allowed me to graduate high school with enough credits to attain my associate's degree at the age of 18. The supportive community and passionate professors ignited my love for computing.

• Data Structures
• Algorithms