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CV / Resume

Aspiring data scientist with experience in technical support, search quality evaluation, and computer vision projects.

Experience

Current position

  • Currently working at the University of Georgia.

Search Quality Rater

  • Evaluated search results and web content for relevance, quality, accuracy, and cultural context to support AI search algorithms.
  • Used advanced online research and Boolean search techniques to verify the credibility and context of search results.
  • Maintained productivity and accuracy against project quality standards while managing a remote work schedule.
  • Completed client training and certification assessments, following data privacy and confidentiality requirements.

Technical Specialist

  • Installed, configured, and maintained Dell servers, desktops, laptops, and peripherals for operational and client needs.
  • Provided Tier 1 and Tier 2 support for PCs, printers, mobile devices, and networking equipment; diagnosed hardware, software, and network faults.
  • Performed hardware and software upgrades and coordinated enterprise software deployments.
  • Administered user accounts and access controls, tracked IT assets, and trained users in security and software best practices.

Education

University of Georgia

Bachelor of Science in Data Science · completed May 2026
Franklin College of Arts and Sciences · Athens, Georgia

Selected coursework: Calculus II and III, Program and Data Literacy using R, and Software Development.

Kennesaw State University

Studies in Computer Game Design and Development

Selected coursework: Data Structures, Discrete Mathematics, Algorithm Analysis, and Software Engineering.

Skills

  • Programming: Python, R, C#, C/C++, Java, SQL
  • Data and machine learning: pandas, NumPy, scikit-learn, PyTorch, TensorFlow, OpenCV; data cleaning, regression, classification, and feature engineering
  • Visualization: Matplotlib, Seaborn, Plotly, Tableau
  • Tools and platforms: Git, Docker, Jupyter Notebooks, Weights & Biases, MySQL, NoSQL, Windows, Linux, Unix

Languages: English (native), Spanish (B1)

Selected project

Pseudo Live-Studio Audience

Built a real-time studio audience system that recognizes faces and plays a matching sound bite when someone appears in the frame.

Honors and awards

  • Dean’s List — University of Georgia, Franklin College of Arts and Sciences
  • Dean’s List — Kennesaw State University, Fall 2020

Identity study

The interactive computer-vision portrait experiment.

CV / Identity study
Portrait of James Notoma
Classification / illustrativeData ScientistSeeker of hidden patterns

An adversarial-ML-inspired visual metaphor.
One human. No label tells the whole story.

Portrait identity: Data Scientist. Illustrative confidence 98.7 percent.