-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathindex.html
148 lines (132 loc) · 10.3 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
<!doctype html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
<meta http-equiv="cache-control" content="Private" />
<meta http-equiv="Expires" content="600" />
<title>Will Jobs</title>
<link href="dependencies/fonts.css" rel="stylesheet" type="text/css">
<link href="dependencies/layout.css" rel="stylesheet" type="text/css">
<link rel="shortcut icon" href="data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%2024%2024'%3E%3Ctext%20x='0'%20y='16'%3EWJ%3C/text%3E%3C/svg%3E" />
</head>
<body>
<div id="resume-wrapper">
<div id="resume">
<div id="main-details">
<div id="name"><h1>Will Jobs</h1></div>
<div class="contact-details">
<a href="mailto:[email protected]">[email protected]</a> |
<a href="https://github.com/willjobs" target="_blank">github.com/willjobs</a> |
<a href="https://linkedin.com/in/willjobs" target="_blank">linkedin.com/in/willjobs</a>
</div>
<p class="bio">Data scientist with expertise in NLP, computer vision, and traditional ML who excels at communicating with all levels of the business</p>
</div>
<div class="main-area">
<section>
<div class="section-title">
<h1>EXPERIENCE</h1>
</div>
<div class="section-content">
<article>
<div class="col-left"><span class="company">Travelers Insurance</span></div>
<div class="col-left"><span class="position">Data Scientist</span></div>
<div class="col-right"><span class="dates">Apr 2024 – Present</span></div>
<ul>
<li>Leading the development of an LLM application to create coverage analyses for reported losses</li>
<li>Trained transformer models (BERT, etc.) for multi-label classification of text in general liability lawsuit documents and leveraged LLMs to identify and extract key information</li>
<li>Supported model monitoring efforts by creating an ETL data pipeline to move data from Elasticsearch into Snowflake</li>
<li>Managed a data science intern and provided mentorship to junior data scientists</li>
</ul>
<div class="col-left"><span class="position">Senior Associate Data Scientist</span></div>
<div class="col-right"><span class="dates">Jul 2022 – Apr 2024</span></div>
<ul>
<li>Trained and deployed a neural network on aerial imagery to identify damage to residential properties after severe wind events</li>
<li>Led the migration of a business-critical modeling code base from SAS to Python and from on-prem to AWS. Technical requirements included the ability to handle over 100M auto policies while improving run-time</li>
<li>Evaluated the feasibility of using tree-based models trained on features derived from aerial imagery to improve price segmentation in an auto insurance product</li>
</ul>
<div class="col-left"><span class="position">Associate Data Scientist</span></div>
<div class="col-right"><span class="dates">Jun 2021 – Jul 2022</span></div>
<ul>
<li>Used double generalized linear models to determine appropriate pricing factors for millions of personal insurance policies</li>
<li>Trained an ensemble model to identify cross-selling opportunities for existing customers as part of a data science competition, coming in 2nd place out of 30 teams</li>
</ul>
</article>
<article>
<div class="col-left"><span class="company">ROI Solutions</span></div>
<div class="col-left"><span class="position">Database Developer</span></div>
<div class="col-right"><span class="dates">Feb 2018 – Jan 2020</span></div>
<ul>
<li>Used an AutoML platform (DataRobot) to train models to improve the response rate to a client’s direct mail campaign by over 20%</li>
<li>Refactored and improved on a legacy Oracle PL/SQL code base underlying a CRM application serving dozens of non-profit clients</li>
<li>Worked with client-facing teams to identify user needs and to diagnose and fix bugs in the application</li>
</ul>
</article>
<article>
<div class="col-left"><span class="company">The Cadmus Group</span></div>
<div class="col-left"><span class="position">Associate</span></div>
<div class="col-right"><span class="dates">Aug 2011 – Feb 2018</span></div>
<ul>
<li>Conducted analyses and created visualizations using Python, R, SQL, and Tableau in projects related to climate change, hydraulic fracturing, drinking water contaminants, greenhouse gas emissions, and home energy use</li>
<li>Created a web app incorporating Tableau dashboards for the Army Corps of Engineers to prioritize assets most vulnerable to climate change</li>
<li>Developed database applications in support of a variety of EPA programs</li>
</ul>
</article>
</div>
</section>
<section>
<div class="section-title">
<h1>EDUCATION</h1>
</div>
<div class="section-content">
<article>
<div><span class="company">University of Massachusetts, Amherst</span></div>
<div class="col-left"><span class="position">Master of Science in Statistics</span> (3.98 GPA)</div>
<div class="col-right"><span class="dates">Aug 2019 – May 2021</span></div>
<p style="margin-top: 4px">Certificate in Statistical and Computational Data Science. Coursework included regression, Bayesian statistics, machine learning, neural networks, natural language processing (NLP), survival analysis, design of experiments, and visualization</p>
</article>
<article>
<div class="col-left"><span class="company">Vassar College</span></div>
<div class="col-left"><span class="position">Bachelor of Arts in Chemistry, Minor in Computer Science</span> (3.99 GPA)</div>
<div class="col-right"><span class="dates">Aug 2006 – May 2010</span></div>
<p style="margin-top: 4px">General Honors, Departmental Honors, Phi Beta Kappa Society. Publications in <span style="font-style: italic">ACS Omega</span> and <span style="font-style: italic">Biophysical Journal</span></p>
</article>
</div>
</section>
<section>
<div class="section-title">
<h1>PROJECTS</h1>
</div>
<div class="section-content">
<article>
<div class="col-left"><span class="company"><a href="https://github.com/willjobs/dog-classifier" target="_blank">Dog Breed Classifier</a></span> | <span class="tools">Python, fastai, Streamlit, deep learning</span></div>
<ul>
<li>Created a web application using Streamlit to classify photos of dogs into one of 150 AKC-recognized breeds</li>
<li>Used fastai to fine-tune a ResNet convolutional neural network on 20,000 images of dogs scraped from the internet, achieving a test set accuracy of 53.8%</li>
</ul>
</article>
<article>
<div class="col-left"><span class="company"><a href="https://github.com/willjobs/regulations-public-comments" target="_blank">Python Wrapper for Regulations.gov API</a></span> | <span class="tools">Python</span></div>
<ul>
<li>Developed a high-level Python API to greatly simplify the process of downloading public comments from Regulations.gov. The project has attained 20 stars on GitHub as of July 2024</li>
<li>Abstracted away the complex pagination scheme and layers of requests while also handling API request limits</li>
</ul>
</article>
</div>
</section>
<section>
<div class="section-title">
<h1>TECHNICAL SKILLS</h1>
</div>
<div class="section-content skills">
<p><strong>Languages</strong>: Python, R, SAS, SQL, PL/SQL (Oracle), JavaScript, HTML, CSS, VBA, Java, C++</p>
<p><strong>Cloud</strong>: Amazon Web Services (AWS Certified Cloud Practitioner), Google Cloud Platform (GCP)</p>
<p><strong>Data Science & Machine Learning</strong>: LLMs, PyTorch, AWS SageMaker, AWS Bedrock, fastai, DataRobot</p>
<p><strong>Visualization</strong>: Tableau, ggplot2, Matplotlib, D3.js</p>
<p><strong>Other</strong>: Git, Linux, MS Office</p>
</div>
</section>
</div>
</div>
</div>
</body>
</html>