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---
layout: default
title: CV
permalink: /cv/
---
<!DOCTYPE html>
<style>
h1, h2, h3, h4, h5, h6, p {
margin: 0;
padding: 0;
}
h1, h2, h3 {
font-weight: bold;
}
ul, li {
padding: 0;
}
</style>
<h1>Timothy K. Book, MS</h1>
<a href='timothykbook@gmail.com'>Email</a> |
<a href='https://www.linkedin.com/in/timothykbook/'>LinkedIn</a> |
<a href='https://github.com/timbook'>GitHub</a> |
<a href='https://twitter.com/NotTimBook'>Twitter</a>
<br><br>
<h2>Education</h2>
<hr><br>
<h3>The Ohio State University</h3>
<h5>August 2013 - May 2016</h5>
<p style = 'margin-left: 40px'><em>Master of Science in Statistics</em></p>
<br>
<h3>The Pennsylvania State University</h3>
<h5>August 2009 - May 2013</h5>
<p style = 'margin-left: 40px'><em>Bachelor of Science in Statistics - With Distinction</em></p>
<p style = 'margin-left: 40px'><em>Bachelor of Science in Mathematics - With Distinction</em></p>
<br>
<h2>Work Experience</h2>
<hr><br>
<h3>Freelance Consulting</h3>
<h4>Data Scientist Consultant (August 2018 - Present)</h4>
<ul>
<li><strong>Precision Analytics</strong>
<ul>
<li> Created topic model of Utah private school reviews and carried out various analyses on natural language data so Precision's client can make informed decisions on budgeting school improvements (Python, gensim)</li>
<li> Constructing and automating data pipeline from client API so that Precision may access and query client data remotely (Python, Requests, AWS, Stata) </li>
<li> Developed a dashboarding tool in R Shiny to allow Precision's client to interactively peruse a previously inaccessible data stream (R, R Shiny) </li>
</ul>
</li>
<li><strong>Cynnovative, LLC</strong>
<ul>
<li> Wrote web scraper to extract device firmwares and patches to a database. Tool used by Cynnovative's client for confidential vulnerability research (Python, Scrapy, PostgreSQL) </li>
</ul>
</li>
</ul>
<br>
<h3>General Assembly - Washington, DC</h3>
<h4>Lead Data Science Instructor (April 2018 - Present)</h4>
<ul>
<li>Train corporate clients (ranging from analysts to managers) in statistics, data science and Python in a 10-week, part-time intensive course</li>
<li>Prepare lecture materials, labs, assessments, and other online materials for us in class</li>
</ul>
<br>
<h3>Summit Consulting, LLC - Washington, DC</h3>
<h4>Data Scientist, Litigation Analytics (August 2016 - March 2018)</h4>
<ul>
<li>Implement and develop complex, parallelized machine learning models used as the base argument of court cases</li>
<li>Employ large-scale data analysis tools to answer complex client questions</li>
<li>Research and carry out sensitivity analyses to help structure rebuttal arguments to levy against opposing expert witnesses</li>
</ul>
<br>
<h3>BMW of North America - Woodcliff Lake, NJ</h3>
<h4>Customer Relations and Services Analyst Intern (May 2013 - August 2013)</h4>
<ul>
<li>Developed a method for identifying BMW dealerships with an outlying number of buybacks
and customer complaints</li>
<li>Identified and measured the error rate of call center documentation and compiled a list of
suggestions with resulted in a more reliable complaint database</li>
</ul>
<br>
<h3>Bureau of Labor Statistics - Washington, DC</h3>
<h4>Joint Program in Survey Methodology (JPSM) Junior Fellowship Intern (May 2012 - August 2012)</h4>
<ul>
<li>Researched and reported on potentional technological improvements for the Consumer Expenditure
Survey redesign</li>
<li>Aided in surveying participants in a proxy expenditure survey</li>
<li>Coauthored statistical and methodological reports to study the proxy reporting and memory
capabilities of survey participants</li>
</ul>
<!-- PORTFOLIO -->
<br>
<h2>Portfolio and Open Source Contributions</h2>
<hr>
<h3>Author:</h3>
<ul>
<li><a href="https://github.com/timbook/rvpy">rvpy</a>: An object-oriented algebra system for random variables in Python</li>
<li><a href="https://github.com/timbook/marketcl">mrketcl</a> [WIP]: A command line fantasy stock trading game</li>
<li><a href="https://github.com/timbook/RegularizationPlot">RegularizationPlot</a>: An R Shiny dashboard illustrating the effects of manipulating tuning parameters of various regularization techniques (click <a href="https://timothykbook.shinyapps.io/RegularizationPlot/">here</a> to visit dashboard directly)</li>
</ul>
<h3>Contributor:</h3>
<ul>
<li><a href="https://github.com/timbook/lubridateExtras">lubridateExtras</a>: A library of convenient functions for manipulating datetimes in R</li>
</ul>
<br>
<!-- TEACHING -->
<br>
<h2>Teaching Experience</h2>
<hr>
<br>
<h3>General Assembly</h3>
<h4>Data Science Fundamentals</h4>
<h5>Lead Data Science Instructor</h5>
<ul>
<li>April 2018 - <em>present</em></li>
</ul>
<h4>Data Science Immersive</h4>
<h5>Recurring Guest Lecturer</h5>
<ul>
<li>November 2018 - <em>present</em></li>
</ul>
<h3>Columbus State Community College</h3>
<h4>STAT 1350 - Elementary Statistics</h4>
<h5>Lecturer</h5>
<ul>
<li>Summer 2016</li>
</ul>
<h4>STAT 2430 - Business Statistics</h4>
<h5>Lecturer</h5>
<ul>
<li>Summer 2016</li>
</ul>
<h3>The Ohio State University</h3>
<h4>STAT 1450 - Introduction to the Practice of Statistics</h4>
<h5>Online Teaching Assistant</h5>
<ul>
<li>Autumn 2014</li>
<li>Spring 2015</li>
<li>Summer 2015</li>
<li>Autumn 2015</li>
</ul>
<h5>Lecturer</h5>
<ul>
<li>Spring 2015</li>
<li>Autumn 2015</li>
<li>Spring 2016</li>
</ul>
<h4>STAT 2450 - Introduction to Statistical Analysis I</h4>
<h5>Teaching Assistant</h5>
<ul>
<li>Spring 2016</li>
</ul>
<!-- AWARDS AND ACTIVITIES -->
<br>
<h2>Awards and Activities</h2>
<hr><br>
<ul>
<li>General Assembly Data Science Product Advisory Board</li>
<li>General Assembly Distinguished Faculty Member</li>
<li>Ohio State University Fellowship Recipient</li>
<li>Mu Sigma Rho National Statistics Honorary Society - Penn State Charter Member</li>
<li>Phi Beta Kappa National Honorary Society</li>
</ul>
<br>
<img src="../images/image3.JPG">