Summary
Steven Kaplan is a data scientist with 12 years of experience bridging academic physics and industry analytics, currently driving operational and clinical insights at Dialyze Direct. He designs scalable data warehouses and ETL pipelines, builds KPIs that saved his current employer roughly $1M annually, and routinely delivers executive-level reporting and ad-hoc models to inform decision-making. Prior roles include people-analytics work at D. E. Shaw—where he improved ATS data quality and estimated applicant market share by university—and particle-physics research at CERN, where he developed classification algorithms and statistical searches for new physics. Comfortable with end-to-end ownership from complex data cleaning to advanced modeling, he pairs rigorous experimental thinking from a Ph.D. in Physics with pragmatic business impact. An understated strength is his track record of cross-departmental collaboration, translating technical results into actionable operational improvements.
12 years of coding experience
7 years of employment as a software developer
B.S., Physics, B.S., Physics at Loyola University Chicago
Ph.D., Physics, Ph.D., Physics at Rutgers University