Hi, I'm Nathaniel 👋
Data Science Leadership · Bayesian Statistics & Causal Inference · Still Learning...
About Me
I'm an experienced Data-Scientist and Statistician with a passion for helping organisations make better decisions through data. I'm an expert in Bayesian methods, Causal inference and Probabilistic AI, with which 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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