Hi, I'm Nathaniel 👋
Data Science Leadership · Bayesian Statistics & Causal Inference · Still Learning...
About Me
I'm an experienced Data-Scientist and Statistician helping organisations make better decisions through data and experimentation. Using my expertise in Bayesian methods, Causal inference and Probabilistic AI I've learned to drive impact across multiple industries. I share what i've learned here.
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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