Education

Master of Science in Computer Science

Boise State University | Graduation Date: August, 2023

  • Relevant Coursework:
    • Deep Learning
    • Intro to Data Science
    • Large-Scale Data Analysis
    • Machine Learning
    • Natural Language Processing

Bachelor of Science in Computer Science, Mathematics Minor

Mississippi State University | Graduation Date: May, 2021

  • Relevant Coursework:
    • Calculus I-IV
    • Database Management Systems
    • Data Structures and Algorithms
    • Linear Algebra
    • Object-Oriented Programming
    • Statistical Inference and Probability

Experience

Blue Cross of Idaho

Healthcare Data Analyst | June 2024 - Present

  • Technologies: SQL, Python, Pandas

Boise State University

Machine Learning Research Associate | September 2023 - January 2024

Machine Learning Graduate Research Assistant | August 2022 – August 2023

  • Implemented machine learning models to spot online misinformation, achieving over 90% accuracy scores.
  • Designed architecture to deploy AI software to make real-time predictions for incoming data.
  • Fine-tuned generative AIs to effectively immitate language found on social media and attack online misinformation detectors.
  • Created data pipelines to extract and process complex datasets, ensuring data quality for model training.
  • Accurately implemented state-of-the-art developments found in academic papers to drive research efforts.
  • Contributed to 3 groundbreaking academic research papers and presented findings at ACM conference.
  • Technologies: Python, Pandas, Transformers, PyTorch, Scikit-Learn, NLTK, Numpy

Charles Schwab Corporation

Data Science and Analytics Intern | June 2020 – August 2020

  • Developed machine learning models to detect impending customer churn, achieving a 78% true positive rate.
  • Lead 8 person analytics team in data collection and analysis of intern satisfaction to drive retention.
  • Presented business impact of customer churn models along with intern analysis to cross-functional stakeholders using visualizations.
  • Technologies: SQL, Tableau, Python, Pandas, Numpy, Scikit-Learn

Trustmark Bank

Data Analytics Co-Op | June 2019 – December 2019

  • Crafted database API for web-based user interface to maintain unique identifiers during data warehouse migration.
  • Translated daily-run queries for use with data warehouse and visualization software.
  • Created visualizations and daily reports to provide stakeholders with actionable insights.
  • Technologies: SQL, Cognos Analytics, Python