Donald Rauscher
VP, Data & Analytics
Minnetonka, Minnesota, United States
Summary
👤
Senior🎓
Top SchoolDonald Rauscher is a data and analytics leader with 11 years of experience building production ML and data platforms for healthcare organizations, currently serving as VP, Data & Analytics at Tuesday Health. He combines hands-on expertise in Python, TensorFlow, Spark/Databricks, dbt, and Kubernetes with product-focused delivery—shipping predictive models for utilization, risk adjustment, and patient activation across Bright Health and MOBĒ. Donald has a strong track record of engineering ML infrastructure (Argo, JupyterHub, Helm), maintaining internal package repos, and creating curated data models and BI suites that empower stakeholders. His background spans causal inference and pragmatic impact measurement (e.g., telehealth effect on ER utilization), data engineering for claims/labs/HIE data, and embedding-rich transfer learning for claim codes. An MBA from Michigan and an ORIE BS from Cornell complement his technical depth with strategy and operations experience.
11 years of coding experience
11 years of employment as a software developer
Master of Business Administration (MBA), With Distinction; Beta Gamma Sigma Honor Society, Master of Business Administration (MBA), With Distinction; Beta Gamma Sigma Honor Society at University of Michigan - Stephen M. Ross School of BusinessBachelors of Science, Operations Research & Industrial Engineering, 3.83, Bachelors of Science, Operations Research & Industrial Engineering, 3.83 at Cornell University
English
Github Skills (33)
analytics-engineering10
terminology10
dbt-packages10
data-lineage10
snowflake9
data-governance9
dbt9
data-warehouse9
sql9
charts8
data-analytics8
bigquery8
argoproj8
kubernetes7
cloudevents7
Programming languages (6)
Github contributions (5)
donaldrauscher/hospital-readmissions
Dec 2017 - Jun 2018
Contributions:48 commits, 24 pushes, 3 branches in 6 months
donaldrauscher/airflow-gke
Jan 2018 - Mar 2018
Contributions:29 commits, 17 pushes, 4 branches in 1 month
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