Ben Walsh has extensive experience with predictive analytics and model building, health business intelligence, and reporting, validating, and modeling claims data. In his role as a data scientist at HMA, Ben builds and expands the capabilities of the data analytics and resources team.
Prior to joining HMA, Ben was a data science intern at CareJourney. In this role, he retrofitted existing notebook code for production by functionalizing, documenting, and designing tests to fit engineering standards. He developed a custom pipeline to evaluate different iterations of a classification model and expanded existing classification pipelines to incorporate newly developed features.
As a practicum student contractor at TransUnion, Ben scoped, researched, and built an in-house R package to monitor and identify model drift. He wrote extensive unit tests to evaluate package performance and created an autofitting model prototype pipeline using R markdown, git, and Jenkins .
In the role of business intelligence analyst at IHA, Ben led the company’s first machine learning project to model appointment no-shows using scikit-learn, a Python module. He crafted dynamic Power Business Intelligence (BI) and SQL server reporting services (SSRS) reports to facilitate data access, reducing data collection time and saving an estimated $15,000 annually in newly available time. He also contributed to enterprise data warehouse (EDW) design by writing extract, transform and load (ETL) SQL scripts in both the SQL server and Oracle SQL.
Ben earned a Master of Science degree in analytics from Northwestern University; a Master of Arts degree in European history, politics, and society from Columbia University; and a Bachelor of Arts in political science from the University of Michigan.