ABOUT ME

Hello! I'm Laurence. I specialize in Analytics Development, where I combine my interests for data and technology to solve diverse and challenging problems. Throughout my career I've engineered data pipelines, built machine learning models and developed automated reporting workflows. My toolkit, which includes Azure, Docker, Python, R and SQL, empowers me to streamline these processes and consistently deliver innovative and impactful solutions.

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P.S. This page was inspired by Gwyn's video as part of the Cloud Resume Challenge, an initiative thoughtfully crafted by Forrest Brazeal. The GitHub repo can be found here and the blog post on my journey can be found here.

Certifications

Azure Fundamentals AZ-900

Work

University of Florida - Quality and Patient Safety

Data Software Engineer| February 2025 - Present

My role focused on building data and machine learning infrastructure that enabled the safe and effective use of predictive models and AI tools to enhance patient safety and clinical outcomes. This involved developing Python packages for feature engineering and building inference pipelines that supported the deployment of predictive models within clinical workflows.

Tech Stack: Bash, Docker, Python, T-SQL, Git

Baylor Scott and White Health

Analytics Developer| September 2022 - February 2025

As part of the data integration and analytics team, I modernized medical claims data ingestion and reporting workflows by migrating SQL Server Integration Services packages and manual SQL-based pipelines to Azure Data Factory. I also led the initial migration of R-based machine learning workflows from desktop environments to Azure Machine Learning, establishing the foundation for scalable execution and operational use of predictive models in a production environment.

Tech Stack: Bash, Azure (Data Factory, Machine Learning, Logic Apps), Python, R, T-SQL, Git

University of Florida - Clinical and Translational Science Institute

Software Developer| February 2019 - September 2022

Collaborated with researchers to design and develop data pipelines, algorithms, and R packages that enabled the effective use of clinical data across research and public health initiatives.

Tech Stack: Bash, Docker, MySQL, Python, R, REDCap, Shiny, Git

Data Targeting

Data Analyst| March 2018 - October 2018

Partnered with data science team to build data pipelines and analytical datasets used for political outreach and audience targeting across mail, phone and digital channels.

Tech Stack: Python, R, PostgreSQL, Git

Education

University of Florida

B.S. Statistics| August 2017

Projects

redcapcustodian

An R package that simplifies data management activities on REDCap systems. It provides a framework for automating data extraction, transformation, and loading (ETL) work. It supports ETL work within a REDCap, between REDCap projects, between REDCap systems, and with the REDCap database. It provides an extensible set of R functions, a Docker image, and an RStudio Project template upon which a REDCap team can build ETL tasks that serve their REDCap systems and customers.