Elizabeth Sexton

Explore recent projects and the skills I bring to marketing, analytics, and healthcare innovation.

Marketing | Healthcare | AI
MS, Business Analytics • BBA, Marketing

About

I’m passionate about using data, strategy, and creativity to make healthcare more accessible and impactful. With experience in patient engagement, cross-platform marketing, and healthcare analytics, I translate insights into campaigns that drive measurable results.I’m currently seeking opportunities that blend marketing, analytics, and health tech, where I can help shape more innovative, equitable approaches to care.

Roles I’m Targeting

  • Healthcare Marketing Specialist

  • Marketing Analyst (Healthcare/Data Focus)

  • Clinical Research Communications Coordinator

  • Community Engagement or Outreach Manager

  • Product or Growth Marketing (Health Tech)

  • AI & Digital Health Strategy Analyst

Industries I'm Exploring

  • Health Systems & Public Health

  • Clinical Research & CROs

  • Health Tech & SaaS

  • Patient Engagement & Experience Design

  • AI/ML in Healthcare

  • Data-Driven Healthcare Innovation

Featured Projects

X-ray Image Classification

Built a CNN model to classify chest X-rays using transfer learning.

Enhancing Clinical Decision Support

Explored how natural language processing can enhance clinical decision support.

Mental Health Classifier

Applied NLP to detect symptoms in mental health forum posts.

SaaS Product Analytics for Healthcare Engagement

Currently designing a data-driven case study to simulate SaaS product marketing in healthcare, using SQL, A/B testing, and Google Analytics to improve user retention.Skills: SQL, A/B Testing, GA4, User Segmentation, Dashboard Design

Career & Education

Health Union LLC.

Manager, Community Development | 2022–2023
Recruited and collaborated with patient leaders across diverse health conditions to support pharmaceutical marketing campaigns. Aligned campaign strategy across UX, insights, and marketing teams, and presented performance outcomes company-wide.Associate Manager, Community Development | 2020–2022
Led engagement and content strategy for chronic condition platforms: AlzheimersDisease.net and Sickle-Cell.com. Built segmented email campaigns, integrated patient stories, and improved SEO using Looker and Google Ads.Intern, Marketing | 2020
Worked on media outreach and PR for B2B initiatives and large-scale patient surveys. Led A/B social media testing across condition-specific communities and made strategic recommendations.

MS, Business Analytics | CU Boulder | 2025

• Modern AI & Machine Learning
• Unstructured & Distributed Data
• Advanced Data Analytics
• NLP in Healthcare
• Health Informatics
• Experiential Projects

BBA, Marketing |
Penn State | 2020

Skills

Technical Skills: Python • SQL • GA4 • Looker • Tableau • NLP • Data Visualization • Dashboards • WordPress • Meta Business Manager

Soft Skills
• Cross-Functional Collaboration
• Stakeholder Engagement & Patient Recruitment
• Pharma-Grade Campaigns & Social Media Strategy

Let's Connect

Actively exploring new roles. Please feel free to reach out if you’re hiring, know of opportunities, or have industry insights to share.

Or reach out directly via LinkedIn or email below.

📍 Based in Boulder, CO | Open to remote or hybrid roles

X-ray Image Classification

Built a convolutional neural network using transfer learning to classify chest X-rays. Applied model evaluation techniques and visualized misclassifications to support diagnostic decisions in healthcare.

Tools: Python · Hugging Face · TensorFlow · Matplotlib
Skills: Transfer Learning · Model Evaluation · Medical Imaging

Mental Health Classifier

Built an NLP-based classifier to detect early mental health symptoms from forum posts. Explored model interpretability with LIME to support responsible AI in healthcare.

Explore the full code for this classifier including preprocessing, training, and LIME visualizations.

Tools: Python · scikit-learn · NLTK · LIME
Skills: Data Cleaning · NLP · Explainability · Model Evaluation

Enhancing Clinical Decision Support

Explored how natural language processing (NLP) can improve diagnostic accuracy and treatment planning in clinical decision support systems. This paper focuses on ethical applications of machine learning in healthcare and evaluates the potential impact on patient safety and care quality.

Explore the full paper for detailed analysis, design recommendations, and NLP implementation insights.

Skills: Clinical NLP · Responsible AI · Research Writing · Literature Review