valbooth28.github.io/index.html at master · valbooth28/valbooth28.github.io · GitHub

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    <title>Val Booth</title>
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          <h1>Val Booth</h1>
          <p></p>
          <hr class = "index">
          <span class="credits left">Project maintained on: <a href="https://github.com/valbooth28">valbooth28</a></span>
          <span class="credits right">Hosted on GitHub Pages &mdash; Theme by <a href="https://twitter.com/michigangraham">mattgraham</a></span>
        </div>

        <h3>About:</h3>
        <p>Hello, my name is Val Booth. I'm a Software Engineer 2 in the QuickBooks Payments segment at Intuit Inc. in Mountain View and a 2017 Computer Science alumna from <a href = "http://www.cs.rit.edu/" class = "rit">RIT</a>. As a student I was a software engineering co-op at Intuit (in San Diego) and Hudl for 6 months each, and an engineering intern at GE Aviation.</p>

        <p>Although I consider myself a full stack engineer, I've spent my full time career at Intuit so far working in React and related frameworks such as Redux
        or Apollo. Previously at Intuit I worked almost entirely in Java, I worked in Backbone.Marionette and React JavaScript codebases at Hudl, I developed C code for GE Aviation, and I worked in C#, Python and Django for projects as a part of my class work.</p>

        <p>Feel free to check out my contact
        information and expand my project sections (by clicking the double down arrow) below.</p>


        <h3>Contact:</h3>
        <p>
        <ul>
          <li><i class="fa fa-envelope fa-lg" aria-hidden="true"></i> Email me at valxbooth at gmail.com</li>

          <li><form action="https://www.linkedin.com/in/valbooth">
            <a href="https://www.linkedin.com/in/valbooth"></i><i class="fa fa-linkedin-square fa-lg" aria-hidden="true"></i> Connect with me on LinkedIn.</a>
            </form> </li>

          <li><form action="https://github.com/valbooth28">
            <a href= "https://github.com/valbooth28"><i class="fa fa-github-square fa-lg" aria-hidden="true"></i> Follow me on GitHub.</a>
            </form> </li>
        </ul>
        </p>

        <h3>
        <a id="Projects" class="anchor"><span class="octicon octicon-link"></span></a>Projects:</h3>

        <ul>
          <li class="expandable"><span class="project">Personal Projects</span>
            <div id="personal" class="sub-region" style="display: none">
            <ul>
            <li> <span class= "sub-project">Mezcladorme</span>
            View Mezcladorme live <a href="https://mezcladorme.azurewebsites.net">here</a>. Mezcladorme is a webapp based on <i class="fa fa-spotify" aria-hidden="true"></i>
            Spotify’s <a href="http://static.echonest.com/SortYourMusic/">“Sort Your Music”</a>
            that loads a user’s Spotify playlists and rearranges songs by creating a minimum
            spanning tree with edge weights based on song similarity. The similarity between songs is found by comparing beat, volume, and
            other audio features. Originally written in JavaScript for BrickHack 2016. View the source code <a href="https://github.com/valbooth28/MezcladorMe">here</a> on <i class="fa fa-github" aria-hidden="true"></i> GitHub.
            </li>

            <li> <span class= "sub-project">Modular Multiplicative Inverse Calculator</span>
            View the calculator live <a href="inverse/index.html">here</a>. The modular multiplicative inverse calculator is a script to
            calculate and show the equations used to find the GCD
            then multiplicative inverse (if there is one) for a number in a modular
            ring up to 50,000,000. Finding the modular multiplicative inverse is used in practical applications to
            <a href = "https://crypto.stackexchange.com/questions/2575/chinese-remainder-theorem-and-rsa">speed up</a> the encryption process
            of <a href ="https://en.wikipedia.org/wiki/RSA_(cryptosystem)">RSA</a>. Thanks to
            <a href="http://amccarthy.me/" > Adam McCarthy</a> for helping test the script. View the source code <a href="https://github.com/valbooth28/valbooth28.github.io/tree/master/javascripts/inverse">here</a> on <i class="fa fa-github" aria-hidden="true"></i> GitHub.
            </li>
            </ul>
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          </li>


          <li class="expandable"><span class="project">School Related Projects</span>
            <div id="School" class="sub-region" style="display: none">
            <ul>
            <li> <span class= "sub-project">Intro to Data Mining Project: "Shall We Dance? Using Naive Bayes and Spotify Data to Predict If a Song is a Good Dance Song"</span>
            Fetched, cleaned, and ran Weka's data mining algorithms on <i class="fa fa-spotify" aria-hidden="true"></i> Spotify's "audio features" for over 1,000 dance and other popular songs from multiple decades to determine how danceable a song was. Compared true positive and
            AUC values for multiple algorithms (with differing sets of features) and then implemented and tested the Naiive Bayes model of the original data set. View some of the scripts and the writeup <a href="https://github.com/valbooth28/DataMiningProject">here</a> on <i class="fa fa-github" aria-hidden="true"></i> GitHub.
            </li>
            <li> <span class= "sub-project">Intro to Big Data Project</span>
            Developed a Python native app that allows the user to filter and make graphs of three years worth of FAFSA dependency filing data
            representing every college/university in the US, along with outside territories. Data was retrieved from <a href="https://www.data.gov/">
            data.gov</a> and converted into a <a href="https://www.sqlite.org">SQLite</a> database before generating bar graphs with <a href="https://plot.ly/">plotly</a>
            and being displayed in a <a href="https://www.riverbankcomputing.com/software/pyqt/intro">PyQT</a> GUI. Standalone Windows app was
            created with <a href="http://www.pyinstaller.org/">PyInstaller</a>. The project was developed by Team Honey Badgers, which included <a href="https://github.com/nickjenis">Nick Jenis</a>
            and Mark Petrie. Project source code can be viewed <a href="https://github.com/valbooth28/HoneyBadgers">here</a> on
            <i class="fa fa-github" aria-hidden="true"></i> GitHub.
            </li>
            </div>
          </li>
        </ul>
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      This project is open sourced under the <a href="https://www.gnu.org/licenses/gpl.txt">GPL</a> on <a href="https://github.com/valbooth28/valbooth28.github.io">Github</a>.
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