Summary
Overview
Work History
Education
Skills
Publications
Coursework
Additional Information
Accomplishments
Timeline
Generic

Dewayne Maye

Montgomery,AL

Summary

Motivated Computer Science senior with a concentration in Cybersecurity, pursuing a Master’s in Computer Science. Seeking a Software Engineering Internship in Basketball Operations to apply skills in programming, data analysis, and machine learning. Experienced in developing research-based projects at PNNL and passionate about leveraging analytics to support team strategy and player performance.

Overview

2
2
years of professional experience

Work History

Visiting Researcher-Machine Learning/AI Intern

Pacific Northwest National Laboratory - Pnnl
Richland, Washington
03.2025 - 08.2025
  • Developed and tested three machine learning models: Isolation Forest, One-Class SVM, and Local Outlier Factor, to detect anomalies in radiation datasets, contributing to improved data analysis workflows
  • Collaborated with a lab partner to produce radiation data and prepared models for integration with GERT4, a 3D simulation tool for visualizing radioactive point sources and flux distributions.

Visiting Researcher – Radiation Data Analysis

Pacific Northwest National Laboratory
Richland, WA
05.2024 - 07.2024
  • Utilized MATLAB for grid coordinate generation and visualized data using NumPy and Matplotlib.
  • Engineered Python solutions for nuclear radiation sensor data analysis, integrating advanced algorithms to strengthen national security monitoring systems.

Visiting Researcher Multimodal Radiation System

Pacific Northwest National Laboratory
Richland, WA
05.2023 - 07.2023
  • Designed a semi-automated radiation detection system, improving accuracy and efficiency in data collection. This innovation enhances public safety by enabling faster, more precise radiation threat detection, supporting emergency response teams and environmental monitoring efforts.
  • Engineered modular Python scripts for multi-sensor integration, streamlining data collection workflows, and enabling real-time visualization.n

Education

B.S. - Computer Science

Alabama A&M University
Huntsville, Al
05-2025

Skills

  • Python
  • SQL
  • MATLAB
  • Data analysis
  • Data visualization
  • Microsoft Excel
  • Database Managmenemnt

Publications

Development and Testing of a Semi-Automated Multimodal Radiation Detection System, Dewayne Maye, M. Sharma, 05/01/24, Pacific Northwest National Laboratory Symposium, Huntsville, AL, Alabama A&M University, Pacific Northwest National Laboratory

Coursework

  • Software Engineering
  • Data Structures
  • Database System
  • Information Security
  • Cryptography
  • Machine Learning

Additional Information

Eco-Track: Environmental Data Monitoring System

  • Developed a relational database system to monitor and analyze ecosystem data for environmental research.
  • Implemented efficient querying methods to ensure data integrity and support decision-making.

NBA Player Points Prediction Model

  • Collected and organized NBA player statistics FG%, MPG, 2PT, 3PT attempts/makes from StatMuse and Basketball-Reference into Excel for model input.
  • Applied a machine learning model Isolation Forest to predict player points per game PPG during the NBA Finals matchup, gaining experience in sports data analytics and feature selection.

Accomplishments

  • 2x Sacnas travel scholarship winner

Timeline

Visiting Researcher-Machine Learning/AI Intern

Pacific Northwest National Laboratory - Pnnl
03.2025 - 08.2025

Visiting Researcher – Radiation Data Analysis

Pacific Northwest National Laboratory
05.2024 - 07.2024

Visiting Researcher Multimodal Radiation System

Pacific Northwest National Laboratory
05.2023 - 07.2023

B.S. - Computer Science

Alabama A&M University