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<!DOCTYPE html>
<html>
<head>
<title>Jen Rowe | Data Analyst </title>
<style>
body {
font-family: Arial, sans-serif;
margin: 40px;
background-color: #f5f5f5;
line-height: 1.6;
}
.container {
display: flex;
gap: 40px;
}
.left {
width: 30%;
}
.right {
width: 70%;
}
img {
width: 150px;
border-radius: 50%;
margin-bottom: 20px;
}
h1 {
margin-bottom: 5px;
}
h2 {
border-bottom: 2px solid #ccc;
padding-bottom: 5px;
margin-top: 30px;
}
p {
margin-bottom: 15px;
}
a {
color: #2a5db0;
text-decoration: none;
}
a:hover {
text-decoration: underline;
}
</style>
</head>
<body>
<h1>Jen Rowe</h1>
<h2>Data Analyst </h2>
<div class="container">
<div class="left">
<img src="profile-photo.jpg">
<p>
Analytical professional with a background in reporting, compliance, and data analysis. Experienced in working with structured data, identifying inconsistencies, and translating findings into clear, actionable insights. Currently focused on applying data analysis and reporting skills to healthcare data, with an emphasis on coding, revenue cycle, and outcome-driven analysis.
</p>
<p>
<a href="https://github.com/JenRowe">GitHub</a><br>
<a href="https://www.linkedin.com/in/jensowards/">LinkedIn</a>
</p>
</div>
<div class="right">
<h2>Featured Project</h2>
<p>
<strong>Breast Cancer Mortality Analysis: Michigan Counties</strong><br><br>
<strong>Objective:</strong><br>
Analyze why breast cancer mortality varies across Michigan despite consistently high screening rates.<br><br>
<strong>Approach:</strong><br>
• Cleaned and combined multi-source public health datasets<br>
• Conducted exploratory analysis to identify patterns and anomalies<br>
• Prioritized counties using mortality rate and total deaths (z-score standardization)<br>
• Built an interactive dashboard to visualize key drivers and disparities<br><br>
<strong>Key Insight:</strong><br>
Mortality differences are not explained by screening rates alone, but by overlapping socioeconomic risk factors and gaps in post-screening care.<br><br>
<a href="https://github.com/YOURUSERNAME/breast-cancer-michigan-analysis">View Project Repository</a><br>
<a href="https://www.loom.com/share/fcff65b2aaa54f8e816f2da612ae1a24">Watch Presentation</a><br>
<a href="https://jenrowe.github.io/breast-cancer-michigan-analysis/">View Dashboard</a>
</p>
<h2>Technical Skills</h2>
<p><strong>Data & Reporting:</strong> Data Analysis, Data Cleaning, Exploratory Analysis, Dashboard Development, Reporting & Visualization</p>
<p><strong>Tools:</strong> Excel, Python (Colab, data analysis workflows), Gamma, Claude</p>
<h2>Education & Certifications</h2>
<p>
<strong>Bachelor of Business Administration, Finance</strong><br>
Eastern Michigan University | Cum Laude | December 2007
</p>
<h2>Relevant Experience</h2>
<p>
<strong>Data Analytics Externship (Healthcare)</strong><br>
Conducted end-to-end analysis of multi-source healthcare datasets, including data sourcing, cleaning, validation, and exploratory analysis. Integrated public health data (mortality, screening, and socioeconomic factors) to identify drivers of breast cancer outcome disparities. Applied statistical methods and data quality validation techniques using Python (Pandas) and developed an interactive dashboard (Claude) to visualize insights. Delivered a structured presentation translating analysis into clear, actionable recommendations.
</p>
<p>
<strong>Reporting Analyst, Data Analytics</strong><br>
Developed reports using SQL, SAS, and Excel to support performance tracking, risk evaluation, and business decision-making. Conducted data validation and resolved discrepancies across systems, ensuring accuracy in high-volume datasets.
</p>
<p>
<strong>Director / Treasurer (Operations & Compliance)</strong><br>
Managed financial reporting, reconciliations, and compliance processes. Produced monthly and annual reports with variance analysis, improved documentation accuracy, and supported decision-making through data-driven insights.
</p>
<p>
<strong>Dealer Compliance Auditor</strong><br>
Reviewed high-volume financial documentation to identify compliance issues and fraud indicators. Analyzed trends in audit findings to highlight recurring risks and improvement opportunities.
</p>
</div>
</div>
</body>
</html>