Summary
Ethan Fenichel is a Senior Data Analyst with over a decade of experience turning complex, HIPAA-sensitive EHR and financial datasets into automated pipelines and AI-driven executive tools. He specializes in analytics engineering for production ML—building ELT/ETL workflows, vector-indexed RAG systems, and monitoring platforms that surface precision/recall/F1 feedback for clinical and product teams. At ModMed he accelerated AI Scribe products and standardized commercial-grade documentation for client access, and he now brings that blend of technical rigor and stakeholder-first design to senior strategy work. Known for translating ambiguous business problems into scalable technical frameworks, he also champions data literacy and inclusive culture through ERG leadership. Based in Delray Beach, he pairs an MLS-style information science foundation with pragmatic software and SQL/Databricks engineering to ensure data products are secure, auditable, and actionable.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS) Economics, Bachelor of Science (BS) Economics at University of Mary Washington
Master of Science (M.S.) Library and Information Science, Master of Science (M.S.) Library and Information Science at University of Tennessee, Knoxville