Stynt
Peter Nooteboom, PhD, is a seasoned data scientist with extensive experience in healthcare and analytics. Currently serving as a Senior Data Scientist at Stynt, Peter Nooteboom defines and analyzes key predictors of product success and user growth, driving product innovation through A/B experimentation and advanced statistical analyses. Previously, as a Data Scientist at AppliedVR, Peter Nooteboom conducted analyses on clinical trial data that contributed to the first FDA approval of an immersive virtual reality therapy device. Peter Nooteboom has also worked with Hack for LA on parking citation predictions, led AI product analysis at Gali Health, and conducted health research at UCLA, where a PhD in Health and Quantitative Psychology was earned.
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Stynt
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Simplifying healthcare staffing to enhance the quality of patient care. Stynt is an innovative, tech-driven healthcare staffing platform that enables clinicians and hiring facilities to connect and transact directly. We simplify healthcare staffing and credentialing by replacing antiquated methods with an elegant and efficient process. Stynt is one of the nation's largest and fastest growing, makes staffing quick, easy and transparent.