Summary
Zane Dennis is a data scientist and software engineer with eight years of experience building ML models, ETL pipelines, and data visualizations across healthcare and research domains. He combines nearly a decade of Python and SQL expertise with 5+ years in production machine learning and 2.5 years working with Big Data on Databricks and BigQuery. His work has driven measurable outcomes—from improving per-member spend forecasts at Aetna to standardizing messy clinical reference data for client analytics at Trilliant Health. Comfortable moving between hands-on engineering and stakeholder-facing analysis, he frequently automates workflows (one-button ETLs, API integrations) to boost team productivity. A former research developer in bioinformatics and NLP, he brings a provenance-minded approach to messy real-world data and a track record of turning complex datasets into actionable insights.
8 years of coding experience
7 years of employment as a software developer
High School Diploma, High School Diploma at Cascia Hall Preparatory School
Master's degree, Data Science, Master's degree, Data Science at New York University
B.S.I., Bioinformatics, B.S.I., Bioinformatics at Baylor University