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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="icon" href="img/GitHub-Mark.png" type="image/x-icon" />
<!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
<title>Emily M. Parrish</title>
<!-- Icon css link -->
<link href="vendors/material-icon/css/materialdesignicons.min.css" rel="stylesheet">
<link href="css/font-awesome.min.css" rel="stylesheet">
<link href="vendors/linears-icon/style.css" rel="stylesheet">
<!-- Bootstrap -->
<link href="css/bootstrap.min.css" rel="stylesheet">
<!-- Extra plugin css -->
<link href="vendors/owl-carousel/assets/owl.carousel.css" rel="stylesheet">
<link href="vendors/animate-css/animate.css" rel="stylesheet">
<link href="css/style.css" rel="stylesheet">
<link href="css/responsive.css" rel="stylesheet">
<link rel="stylesheet" href="css/colors/default.css" title="default">
<link rel="alternate stylesheet" href="css/colors/orange.css" title="orange">
<link rel="alternate stylesheet" href="css/colors/pink.css" title="pink">
<link rel="alternate stylesheet" href="css/colors/violet.css" title="violet">
<link rel="alternate stylesheet" href="css/colors/blue.css" title="blue">
<link rel="alternate stylesheet" href="css/colors/past.css" title="past">
</head>
<body class="dark_bg" data-spy="scroll" data-target="#bs-example-navbar-collapse-1" data-offset="80" data-scroll-animation="true">
<div id="preloader">
<div id="preloader_spinner">
<div class="spinner"></div>
</div>
</div>
<!--================ Frist hader Area =================-->
<header class="header_area">
<div class="container">
<nav class="navbar navbar-default">
<!-- Brand and toggle get grouped for better mobile display -->
<div class="navbar-header">
<button type="button" class="navbar-toggle collapsed" data-toggle="collapse" data-target="#bs-example-navbar-collapse-1" aria-expanded="false">
<span class="sr-only">Toggle navigation</span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
<span class="icon-bar"></span>
</button>
<h3 style="padding-top:25px;">Emily M. Parrish</h3>
<!-- <img src="img/GitHub_Logo.png" style="padding-top:15px;" width="120px"> -->
</div>
<!-- Collect the nav links, forms, and other content for toggling -->
<div class="collapse navbar-collapse" id="bs-example-navbar-collapse-1">
<ul class="nav navbar-nav navbar-right">
<li class="active"><a href="#about">ABOUT ME </a></li>
<li><a href="#skill">Skills</a></li>
<li><a href="#education">Education + Experience</a></li>
<li><a href="#toolkit">TOOLKIT</a></li>
<li><a href="#portfolio">PORTFOLIO</a></li>
</ul>
</div><!-- /.navbar-collapse -->
</nav>
</div>
</header>
<!--================End Footer Area =================-->
<!--================Total container Area =================-->
<div class="container main_container">
<div class="content_inner_bg row m0">
<section class="about_person_area pad" id="about">
<div class="row">
<div class="col-md-5">
<div class="person_img">
<img src="img/myPhoto.jpeg" alt="">
<a class="download_btn" href="docs/resume.pdf"><span>Download Resume</span></a>
</div>
</div>
<div class="col-md-7">
<div class="row person_details">
<h3>Hi I'm <span>Emily Parrish</span></h3>
<h4>Research Associate and M.S. Student in Data Analytics</h4>
<p>I am a Research Associate at a Federally Funded Research and Development Center (FFRDC) called the Institute for Defense Analyses (<a href="https://www.ida.org/ida-ffrdcs/systems-and-analyses-center/std">IDA</a>). I am also a first year graduate student at the George Washington University School of Engineering and Applied Science (<a href="https://graduate.seas.gwu.edu/masters-data-analytics">SEAS</a>) studying Data Analytics. My research interests range from topic modelling and natural language processing to applying deep learning techniques to study human reaction and locomotion. I have conducted research ranging from the building of research nextworks and knowledge transfer using bibliometric data, to evauation of mine detection algorithms, to social media analysis.</p>
<div class="person_information">
<ul>
<li><a href="#">Phone</a></li>
<li><a href="#">Personal Email</a></li>
<li><a href="#">School Email</a></li>
<li><a href="#">Website</a></li>
</ul>
<ul>
<li><a href="#">+1 (804) 922-3732</a></li>
<li><a href="#">emparrish417@gmail.com</a></li>
<li><a href="#">emparrish93@gwmail.gwu.edu</a></li>
<li><a href="#">http://emparrish417.github.io</a></li>
</ul>
</div>
<ul class="social_icon">
<li><a href="https://www.facebook.com/fightitoutorparrish"><i class="fa fa-facebook"></i></a></li>
<li><a href="#"><i class="fa fa-twitter"></i></a></li>
<li><a href="https://www.instagram.com/tommy_fresh15"><i class="fa fa-instagram"></i></a></li>
<li><a href="https://www.linkedin.com/in/emilymparrish"><i class="fa fa-linkedin"></i></a></li>
<li><a href="https://github.com/emparrish417"><i class="fa fa-github"></i></a></li>
</ul>
</div>
</div>
</div>
</section>
<section class="myskill_area pad" id="skill">
<div class="main_title">
<h2>Skills</h2>
</div>
<div class="row">
<div class="col-md-6 wow fadeInUp animated">
<div class="skill_text">
<h4>Programming Skills</h4>
<p>Background in a variety of programming languages and associated major libraries (where relavent). Additional experience in code testing in command line programming and version control software.</p>
</div>
<div class="skill_item_inner">
<div class="single_skill">
<h4>Python</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="90" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">90</span>%</div>
</div>
</div>
</div>
<div class="single_skill">
<h4>MsSQL</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="30" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">30</span>%</div>
</div>
</div>
</div>
<div class="single_skill">
<h4>Html & Css</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="80" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">80</span>%</div>
</div>
</div>
</div>
<div class="single_skill">
<h4>JavaScript & PHP</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="65" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">65</span>%</div>
</div>
</div>
</div>
<div class="single_skill">
<h4>Java & C++</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="45" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">45</span>%</div>
</div>
</div>
</div>
</div>
</div>
<div class="col-md-6 wow fadeInUp animated">
<div class="skill_text">
<h4>Analysis/Visualization Software</h4>
<p>Skills in using a variety of visualization software for presentation of analytics task work. Can couple visualization and analysis using knowledge in programming languages that support visualization packages.</p>
</div>
<div class="skill_item_inner">
<div class="single_skill">
<h4>Microsoft Excel</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="95" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">95</span>%</div>
</div>
</div>
</div>
<div class="single_skill">
<h4>Mallet (LDA Software)</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="70" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">70</span>%</div>
</div>
</div>
</div>
<div class="single_skill">
<h4>MiniTab</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="20" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">20</span>%</div>
</div>
</div>
</div>
<div class="single_skill">
<h4>R & Bokeh (Python)</h4>
<div class="progress">
<div class="progress-bar" role="progressbar" aria-valuenow="50" aria-valuemin="0" aria-valuemax="100">
<div class="progress_parcent"><span class="counter">50</span>%</div>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="education_area pad" id="education">
<div class="main_title">
<h2>Education + Experience</h2>
</div>
<div class="education_inner_area">
<div class="education_item wow fadeInUp animated" data-line="H">
<h6>2007-2011</h6>
<a href="#"><h4>High School</h4></a>
<h5>Henrico High School</h5>
<p>At Henrico I completed both the MYP (Middle Years Programme) and IB (International Baccalaureate) Programme, focusing my Extended Essay on the discipline of Peace and Conflict Studies. I was a member of the National Honors Society and Treasurer of the Environmental Club.</p>
</div>
<div class="education_item wow fadeInUp animated" data-line="U">
<h6>2011-2015</h6>
<a href="#"><h4>Undergraduate Degree (B.S.)</h4></a>
<h5>The College of William and Mary</h5>
<p>During my time at the college, I earned a Bachelors in Science in Chemistry and a minor in Computer Science. In addition to my studies, I worked for two years in a chemistry department lab studying the proteomics of mutant-strain Heliobactor Pylori and conducting theoretical calculations of proton affinity for varying amino acid species. I was a member of the Alpha Phi Omega Service Fraternity and the William and Mary Model United Nations team, where we both participated in debate-centered conferences around the country and hosted such conferences on campus for middle, high school, and college students.</p>
</div>
<div class="education_item wow fadeInUp animated" data-line="W">
<h6>2015-Present</h6>
<a href="W"><h4>Work Experience</h4></a>
<h5>Institute for Defense Analyses</h5>
<p>At IDA, I work on various science/technology defense-related research tasks sponsored by federal defense organizations such as the DoD and DTRA. Such projects have included collecting and determining utility of validation data for CBRN modeling and simulation codes in addition to performing validation analyses on some codes to test and evaluation of vehicular and robot-mounted counter-IED sensors. I also have completed a variety of internal research projects on a range of topics with national security applications.</p>
</div>
<div class="education_item wow fadeInUp animated" data-line="G">
<h6>2019-Present</h6>
<a href="#"><h4>Graduate Degree (M.S.)</h4></a>
<h5>The George Washington University</h5>
<p>In the fall of 2019, I began my studies in the School of Engineering and Applied Science at GWU in the discipline of Data Analytics. This is a joint venture in both the Computer Science and Systems Engineering and Management departments, where my focus will be on design and analysis of machine learning algorithms.</p>
</div>
</div>
</section>
<section class="service_area" id="toolkit">
<div class="main_title">
<h2>Data Analytics ToolKit</h2>
</div>
<div class="service_inner row">
<div class="col-md-6">
<div class="service_item wow fadeInUp animated">
<i class="fa fa-building" aria-hidden="true"></i>
<a href="#"><h4>Data Structures</h4></a>
<p><b>Pandas</b>: Python library for data storage and manipulation using dataframes<br>
<b>Numpy</b>: Useful for creating arrays and storing data for numerical analysis</p>
</div>
</div>
<!-- <div class="col-md-6">
<div class="service_item wow fadeInUp animated">
<i class="fa fa-lightbulb-o" aria-hidden="true"></i>
<a href="#"><h4>Deep Learning</h4></a>
<p>Lorem ipsum dolor sit amet, consectetur adipiscing elits, sed do mod, tempor ets incididunt ut labore et dolore magna aliqua. Ut enim adtiesm minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.</p>
</div>
</div> -->
<!-- <div class="col-md-6">
<div class="service_item wow fadeInUp animated">
<i class="fa fa-calculator" aria-hidden="true"></i>
<a href="#"><h4>Statistical Analysis</h4></a>
<p>Lorem ipsum dolor sit amet, consectetur adipiscing elits, sed do mod, tempor ets incididunt ut labore et dolore magna aliqua. Ut enim adtiesm minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.</p>
</div>
</div> -->
<div class="col-md-6">
<div class="service_item wow fadeInUp animated">
<i class="fa fa-link" aria-hidden="true"></i>
<a href="#"><h4>Network Analysis</h4></a>
<p><b>Networkx</b>: Helps build networks in Python and either store them or vizualize them using Matplotlib.</p>
</div>
</div>
<div class="col-md-6">
<div class="service_item wow fadeInUp animated">
<i class="fa fa-desktop" aria-hidden="true"></i>
<a href="#"><h4>Machine Learning</h4></a>
<p><b>Scikit-learn</b>: Can easily preprocess training data and ingest data into various supervised and unsupervised machine learning models. It also can be used to evaluate the quality of said models.<br>
<b>Tensorflow</b>: Useful for Deep Learning and evaluation of deep learning models</p>
</div>
</div>
<div class="col-md-6">
<div class="service_item wow fadeInUp animated">
<i class="fa fa-bar-chart" aria-hidden="true"></i>
<a href="#"><h4>Visualization</h4></a>
<p><b>Matplotlib</b>: Basic plotting capability in Python<br>
<b>Seaborn</b>: Expands on Matplotlib plotting capabilities and good for statistical model plots.<br>
<b>d3py</b>: Creates Javascript-based vizualizations using d3 libraries<br>
<b>bokeh</b>: Generates and launches web-based applications<br></p>
</div>
</div>
<div class="col-md-6">
<div class="service_item wow fadeInUp animated">
<i class="fa fa-language" aria-hidden="true"></i>
<a href="#"><h4>Text Processing</h4></a>
<p><b>Genism</b>: Python implementation of Latent Dirichlet Allocation (LDA), a common topic modeling algorithm in addition to others (HDP and LSA).</p>
</div>
</div>
<div class="col-md-6">
<div class="service_item wow fadeInUp animated">
<i class="fa fa-code" aria-hidden="true"></i>
<a href="#"><h4>Web Scraping</h4></a>
<p>I've found with web scraping, a lot of it can be really application based. My first instinct is to search and see if an existing library or tool has been developed for said application. If not I tend to use scrapy.</p>
</div>
</div>
</div>
</section>
<section class="portfolio_area pad" id="portfolio">
<div class="main_title">
<h2>Portfolio</h2>
</div>
<div class="porfolio_menu">
<ul class="causes_filter">
<li class="active" data-filter="*"><a href="">All</a></li>
<li data-filter=".assignments"><a href="">Assignments</a></li>
<li data-filter=".presentations"><a href="">Presentations</a></li>
<li data-filter=".visualization"><a href="">Visualization/Analysis</a></li>
</ul>
</div>
<div class="row">
<div class="portfolio_list_inner">
<div class="col-md-4 photo assignments">
<div class="portfolio_item">
<div class="portfolio_img">
<img src="img/portfolio/gw-logo.jpg" alt="">
</div>
<div class="portfolio_title">
<a href="#openModal1"><h4>SEAS 6401 Assignments</h4></a>
<h5>Assignments</h5>
</div>
</div>
</div>
<!-- <div class="col-md-4 assignments">
<div class="portfolio_item">
<div class="portfolio_img">
<img src="img/portfolio/coming-soon.jpg" alt="">
</div>
<div class="portfolio_title">
<a href="#openModal2"><h4>Project #2</h4></a>
<h5>Assignments</h5>
</div>
</div>
</div> -->
<div class="col-md-4 photo presentations">
<div class="portfolio_item">
<div class="portfolio_img">
<img src="img/portfolio/final-project.png" alt="">
</div>
<div class="portfolio_title">
<a href="#openModal3"><h4>SEAS 6401 Final Project</h4></a>
<h5>Presentations</h5>
</div>
</div>
</div>
<div class="col-md-4 photo visualization">
<div class="portfolio_item">
<div class="portfolio_img">
<img src="img/portfolio/Injuries.png" alt="">
</div>
<div class="portfolio_title">
<a href="#openModal4"><h4>Baseball Injuries</h4></a>
<h5>Visualization/Analysis</h5>
</div>
</div>
</div>
<div class="col-md-4 photo visualization">
<div class="portfolio_item">
<div class="portfolio_img">
<img src="img/portfolio/Model-comparison.png" alt="">
</div>
<div class="portfolio_title">
<a href="#openModal5"><h4>Model Comparison</h4></a>
<h5>Visualization/Analysis</h5>
</div>
</div>
</div>
<div class="col-md-4 photo visualization">
<div class="portfolio_item">
<div class="portfolio_img">
<img src="img/portfolio/Linear-Regression.png" alt="">
</div>
<div class="portfolio_title">
<a href="#openModal6"><h4>Linear Regression</h4></a>
<h5>Visualization/Analysis</h5>
</div>
</div>
</div>
</div>
</div>
</section>
<div id="openModal1" class="modalDialog">
<div>
<a href="#close" title="Close" class="close">X</a>
<h3>SEAS 6401 Assignments</h3><br>
<p>Selected topics in engineering management and systems engineering, as arranged. Basic techniques of data science; algorithms for data mining; basics of statistical modeling and their “Big Data” applications. Concepts, abstractions, and practical techniques.</p><br>
<p style="font-size:16px"><strong>Assignment #1:</strong> Creating a Portfolio (Intro to GitHub, Python, and EDA)</p>
<p style="margin-left: 40px"><strong><a href="https://github.com/emparrish417/SEAS6401/blob/master/HW1.ipynb">Jupyter Notebook</a></strong></p><br>
<p style="font-size:16px"><strong>Assignment #2</strong>: Data Analysis, Statistical Inference, and Visualizations</p>
<p style="margin-left: 40px"><strong><a href="https://github.com/emparrish417/SEAS6401/blob/master/HW2.ipynb">Jupyter Notebook</a></strong></p><br>
<p style="font-size:16px"><strong>Assignment #3</strong>: Machine Learning</p>
<p style="margin-left: 40px"><strong><a href="https://github.com/emparrish417/SEAS6401/blob/master/HW3">Jupyter Notebook</a></strong></p>
</div>
</div>
<!-- <div id="openModal2" class="modalDialog">
<div>
<a href="#close" title="Close" class="close">X</a>
<h3>Project #2</h3><br>
<p>With internal funding, conducted a literature search on the applications of Convolutional Neural Networks on human locomotion. Additionally, ran simple sensitivity studies on training data set and algorithm itself to evaluate the quality of the algorithm and the training data.<br><br>Recently began a project writing Python scripts to process and organize a large tagged data set. Currently preparing the data for a topic modeling algorithm to evaluate the quality of the manually assigned tags and write an unsupervised classifier to tag additional data points.</p>
<center><h4><strong><a href="https://github.com/emparrish417/emparrish417.github.io">GitHub Repository</a> | <a href="https://github.com/emparrish417/emparrish417.github.io/blob/master/README.md">Documentation</a></strong></h4></center>
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<h3>SEAS 6401 Final Project</h3><br>
<p>PIn 2019, The New York Yankees set a record for the most injured players in a single season. Qualitatively speaking, it can be observed that in recent years the Yankees have seen a plethora of injuries, especially coming from their bullpen. However, the increase in pitching injuries is not just limited to a single team: in 2018, the Diamondbacks among other teams reported an increase in players undergoing surgeries for arm/shoulder injuries. Why are injuries becoming more prevalent? Kinesthetic research attempts to study the motion of pitching and its lasting impact on the body, especially in the case of speed, rotation, and extension. s</p><br>
<p>Understanding the underlying physical issues that can cause wear in a player’s body, however, is only one step in this problem. The Major League Baseball (MLB) organization maintains a detailed database of play-by-play statistics in addition to a record of injuries from 2015-2019 seasons. To quantify the impacts of these injuries, researchers can potentially leverage the plethora of available data ranging from the type of pitch, to how it travels, to the build of the pitcher. Analyses such as these could understand trends in behaviors that cause injury or classifying types of injuries that are most costly to a team’s bullpen. Thus, coaching staff can be better informed, and combined with knowledge gained by kinesiology research, can adjust their training programs accordingly.</p><br>
<p style="margin-left: 40px"><strong><a href="https://github.com/emparrish417/SEAS6401/blob/master/MachineLearning.ipynb">Jupyter Notebook</a></strong></p>
<center><h4><strong><a href="docs/MLB Pitching injuries.pptx">Final Presentation</a> | <a href="https://github.com/emparrish417/emparrish417.github.io">GitHub Repository</a> | <a href="#">Report</a></strong></h4></center>
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<h3>Injuries</h3><br>
<p>This is a plot of upper body injuries over the 5 year time span of hte data set. For more information, please reference the final project</p><br>
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<h3>Model Comparison</h3><br>
<p>A comparison of Naiive Bayes, KNeighbor, and SVC classification models on MLB pitcher injury data. These models were built in an effort to classify Shoulder/Elbow injuries based on pitchers height/weight/age and pitching statistics.</p><br>
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<h3>Linear Regression</h3><br>
<p>This is a linear regression analysis on average extension speed versus ball speed of MLB players For more information see final project.</p><br>
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