Hi, I'm Nathaniel 👋
Data Science Leadership · Bayesian Statistics & Causal Inference · Still Learning...
About Me
I started out in logic, transitioned into statistics, and now work in data science. What I’ve learned is that algorithms matter less than how people and organizations use them to make better decisions — and I’m still learning what that really means.
Recent Highlights
Variational Auto-Encoders and Latent Structure with PyTorch and PyMC
Missing data is prevalent in job satisfaction surveys which present a problem for HR SaaS analytics. We compare different approaches to solving this problem.
Read MorePodcast Appearance on Learning Bayesian Statistics
Talking confirmatory factor analysis & Bayesian methods with Alex Andorra on Learning Bayesian Statistics.
ListenConsumer Choice models in PyMC Marketing
Market competition eats into companies revenue bottom lines. Understanding the effective drivers of win-rates improves company revenues. I implement discrete choice models and demonstrate how to model product differentiation with PyMC marketing.
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