Tremayne Enrique Watterson

Data Scientist · Charlotte, NC

I use data and analytical thinking to explore interesting and dynamic problems. My path includes a wide range of educational and professional experiences, giving me a flexible and pragmatic approach to problem-solving. I am driven by curiosity and a genuine interest in learning new tools, tackling new questions, and gaining new perspectives. Above all, I strive to be a man for and with others, applying my skills in ways that are collaborative, thoughtful, and grounded in real-world impact.

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Experience

Associate Data Scientist

Red Ventures (Bankrate.com & Coverage.com) · Jul 2023 – Present
  • Designed a dynamic lead pricing model generating $100K+ daily revenue using regression-based approaches
  • Built statistical optimization models improving homepage conversion for 700K+ daily users
  • Developed automated forecasting pipelines for revenue and demand estimation across business scenarios
  • Production Python for data ingestion, feature engineering, and model scoring
  • Extensive SQL for data validation and model monitoring

Clinical Research Coordinator I

Washington University School of Medicine · Jul 2021 – Jul 2023
  • Served as lead data manager for COVID-19 testing data covering 2,000+ participants
  • Led the organization and delivery of recurring reports for internal stakeholders and the National Institutes of Health (NIH)
  • Authored and published a weekly newsletter translating complex data, research findings, and policy developments into clear, accessible insights

Public Health Program Associate

Missouri DHSS · Jul 2020 – Jul 2021
  • Conducted STD, HIV, and COVID-19 surveillance and case investigations using epidemiological methods
  • Directly contacted participants to notify them of test results and provide public health guidance
  • Connected individuals with appropriate medical care, isolation resources, and community support services

AmeriCorps Member

Alianza Poder · Aug 2019 – Jun 2020
  • Provided direct resource navigation and referrals for housing, immigration, healthcare, and social services within rural and immigrant communities
  • Assisted with immigration consultations and preparation of basic case documentation while maintaining accurate client records
  • Managed and maintained program data systems, including QuickBase, and supported transitions to updated immigration databases
  • Coordinated special projects to strengthen leadership development, civic engagement, and organizational capacity across community programs

Research

Assessing COVID-19 Testing Strategies in K–12 Schools in Underserved Populations

BMC Public Health · 2022

Cluster-randomized trial protocol evaluating COVID-19 testing strategies in underserved school communities, with a focus on equitable implementation and data collection.

View publication on PubMed →

Common Data Element Collection in Underserved School Communities: Challenges and Recommendations

Pediatrics · 2023

Multi-site research examining challenges in standardized data collection across underserved school settings, with recommendations to improve data quality, interoperability, and equity.

View publication on PubMed →

Projects

Lead Pricing Model

Regression-based dynamic pricing system generating $100K+ daily revenue. Balances yield optimization with volume targets across multiple business verticals.

Python · Regression · Optimization

Homepage Optimization

Statistical models improving conversion for 700K+ daily users. Experimentation framework for testing layout, content, and personalization strategies.

Experimentation · Causal Inference · A/B Testing

MyIdealRep

Web application matching users to House Representatives based on policy preferences. Built with Flask API, SQLite, and weighted matching algorithms.

Flask · SQLite · Python

Forecasting Pipelines

Automated revenue and demand estimation across business scenarios. Production-grade pipelines for scenario planning and resource allocation.

Forecasting · Python · SQL

Writing

Policy & Peaches

Co-author of a Substack making policy analysis accessible through conversational writing. Covers topics at the intersection of data, public health, and civic engagement.

Read on Substack →

Education

MPH in Epidemiology & Biostatistics

Washington University in St. Louis

BS in Biostatistics

Saint Louis University

Technical Skills

Python SQL R scikit-learn Regression Modeling Causal Inference Experimental Analysis Forecasting Optimization Feature Engineering

Contact

Interested in working together? Reach out.

tremayne.watterson@gmail.com (573) 604-1930 LinkedIn