Zack Kagan
Staff Data Scientist @Presidio Medical, Inc
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WORK HISTORY
Staff Data Scientist @Presidio Medical, Inc
Portland, OR, US
Operationalizing predictive ML models using random forests, achieving 66% recall of device errors before they occurred, enabling proactive intervention and minimizing treatment interruption.Identifying anomalies in clinical trial progress using PCA and clustering (50 patients, longitudinal device logs totaling 5M rows), leading to differentiated patient management protocols for better clinical outcomes.Architecting end-to-end ETL pipelines to ingest raw device logs and clinical data into a central PostgreSQL warehouse, eliminating manual bottlenecks and reducing data request TAT by hours.Creating and deploying decision-support GUI for clinical staff, reducing workflow time by 99%(30 min to 10 sec) and standardizing real-time patient evaluation protocols.Validating data extraction pipelines and GUI functionality according to ISO 13485/quality management system standards.Creating and presenting analytical reports for leadership, clinical, and R&D teams; contributed data-driven content to regulatory submissions.
EDUCATION
University of Florida
Bachelor of Science (BS), Electrical and Electronics Engineering
University of Utah
Doctor of Philosophy (Ph.D.), Bioengineering
University of Utah
Master’s Degree, Bioengineering
SKILLS
ABOUT ZACK KAGAN
Data scientist with experience operationalizing predictive models and statistical analyses in regulated healthcare and medical device environments. I specialize in applying machine learning and clinical analytics to real-world data, embedding insights into validated pipelines and clinician-facing decision-support tools that directly inform patient care and product workflows.
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