Summary
Aidan Berry is a Senior Data Scientist with six years of experience building and deploying scalable machine learning pipelines across healthcare, geospatial, and insurance domains. He combines deep learning and classical ML expertise (PyTorch, TensorFlow, LightGBM) with production engineering skills (GCP, Airflow, Docker, Dask) to move models from experimentation into high-impact clinical and cost-management workflows. At CVS he led migration from on-prem Hadoop to GCP, delivered population risk models and causal-inference–driven outreach campaigns, and created a reusable causal inference package now used company-wide. He’s comfortable bridging technical and business stakeholders, mentoring engineers, and driving automation that saves time and money. Based in Denver and grounded in both industrial engineering and computational analytics, he brings a practical, data-first approach to solving complex, real-world problems.
6 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Industrial and Systems Engineering Statistics, Bachelor of Science - BS Industrial and Systems Engineering Statistics at North Carolina State University
Master of Science - MS Computational Analytics, Master of Science - MS Computational Analytics at Georgia Institute of Technology
High School Diploma, High School Diploma at Athens Drive High School