Ryan Travis Email and Phone Number

Created machine learning models for the prediction of injurious falls and pressure ulcers among nursing home residents.Assisted operations in the deployment of models into production.Transitioned legacy SAS code base to modern R code saving the company thousands of dollars in licensing fees.Fully automated reports and dashboards allowing for a large increase in the scale of production (from dozens to hundreds of reports or more) and a total reduction in delivery time of several days.Performed analysis of business decisions and presented results to stake holders, including the CEO, company leadership, and members of the boardTrained new hires in team coding standards and version control (git).

Provided advanced statistical analysis and modeling of complex clinical trial data (phase II and phase III), including survival, hierarchical, and longitudinal data structures. Typical models included generalized linear models as well as time to event survival models.Used machine learning methods such as stacked ensembles, tree based models, and regularized regressions for cardiovascular outcome risk prediction. Produced publication worthy visualizations using R’s plotting capabilities (ggplot2) and vector graphics software.Assisted in the writing and preparation of medical research papers.Provided statistical consulting and programming support (R and SAS).Assisted in the design and collection of medical registry data (observational data collection).