aaronparson.github.io/resume.html at main · Aparson13/aaronparson.github.io · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Aaron S. Parson - Resume</title>
  <link rel="stylesheet" href="css/styles.css">
</head>
<body>
  <nav>
     <ul>
       <li><a href=''>Home</a></li>
       <li><a href='about.html'>About</a></li>
       <li><a href='resume.html'>Resume</a></li>
      <li><a href='projects.html'>Projects</a></li>
       <li><a href='blog.html'>Blog</a></li>
     </ul>
   </nav>
  <div class="section">
    <h1>Aaron S. Parson</h1>
    <p>(804) 937-4769 • aparson1700@gmail.com • LinkedIn: <a href="https://www.linkedin.com/in/aaron-parson">aaron-parson</a> • GitHub: <a href="https://github.com/Aparson13">Aparson13</a></p>
  </div>

  <div class="section">
    <h2>EDUCATION</h2>
    <p>University of Virginia, School of Engineering, Charlottesville, VA</p>
    <ul>
      <li>B.S in Computer Science, Applied Mathematics minor</li>
      <li>GPA: 3.46</li>
      <li>Major GPA: 3.79</li>
      <li>UVA Data Justice Scholar</li>
      <ul>
        <li>Gained experience in Data Visualization with Tableau, Statistical Analysis with R, Machine Learning, Neural Networks, and Databases</li>
      </ul>
      <li>Relevant coursework: Data Structures and Algorithms, Math of Information, Multivariable Calculus, Physics, Chemistry, Theory of Computation, Advanced Software Development, Probability, Statistics, Linear Algebra, Public Speaking, Machine Learning</li>
    </ul>

    <p>University of Richmond, UR Cybersecurity Boot Camp program, Richmond, VA</p>
    <ul>
      <li>24-week intensive course covering the fundamental aspects of cybersecurity</li>
      <li>Relevant coursework: network design, risk management, operational security, network administration, cyber threat analysis, vulnerability analysis</li>
    </ul>
  </div>

  <div class="section">
    <h2>PROFESSIONAL EXPERIENCE</h2>

    <h3>Effectv (Comcast), Data Science Intern</h3>
    <ul>
      <li>Given a machine-learning model and a defined list of localized areas of interest, worked to reliably increase performance on local areas with minimal impact to global performance using various data augmentation techniques and data analysis</li>
      <li>Investigated ways to encode categorical