
Vid Stropnik is an applied data scientist working in AdTech, with a focus on the interpretability and accuracy of advanced tracking events and measurement systems on paid social platforms. He is passionate about making complex systems understandable and translating machine learning systems into real consumer and business value. His areas of focus include graph deep learning, Bayesian modeling, and model interpretability.
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