Kyle Gallatin

Consult students on data science projects in R, Python, SQL, ML and general engineering. Train new data scientists to employ real world machine learning skills.

• Product owner of a scalable end-to-end MLOps pipeline deploying models to Kubernetes • Dev team lead for machine learning infrastructure and dev/ops • Deployed ML and DL models to serve predictions to multiple applications in real time • Designed a novel CI/CD machine learning workflow bringing dev/ops to ML solution delivery

• Developed novel multilingual search tool for medical information using Elasticsearch to serve thousands of health care practitioners in China (70k requests first week) • Used tree-based and regularized models to predict clinical trial outcomes from clinical and gene expression data

• Performed analysis and structuring on company user data streamed from remote MongoDB • Improved marketing impact by analyzing app advertisement data using the Facebook API and Facebook Ads Manager data

• Built ML algorithms to improve customer targeting and segmentation for Pfizer products

• Aided in development of a platform to test students in R, Python, SQL and ML • Created self grading problems and data science workflows/structures for student practice • Consulted students on data science projects, aided in R, Python, SQL and ML skill development

• Used machine learning algorithms (PCA) to analyze cellular data and enhance research on novel protein subgroups of clinical significance using R. • Ran statistical significance tests (ANOVA, Mann-Whitney, etc) on pharmaceutical clinical trials data using R, Python and excel to research drug efficacy and effect. • Grew research utility and analytics interpretability with techniques for sparse and multidimensional data. • Supported several successful government grant wins with drafting, data organization, and data visualization.