I'm a data scientist who is passionate about learning and teaching others. When I'm not coding you can find me running, cooking or playing Go.

I work at Coles Group in Australia as a Senior Data Scientist

PhD in Chemical Engineering and Grad Certificate in Applied Finance and Investment

• Intuitive Bayes - Advanced Regression: Bayesian Analysis with PyMC
• Becoming a BayeZian: Bayesian Analysis with Stan
• Causal Inference in R

• Mastering Shiny
• Building R Packages
• Building internal packages
• Using ggplot2 in packages
• Programming with ggplot2
• Programming with dplyr
• rlang Lionel Henry
• Tidyverse Style Guide
• R for Data Science
• Advanced R
• Advanced R solutions

• UC Business Analytics in R
• The Carpentries
• Building data visualisations and models with the Tidymodels and Tidyverse meta-packages. Every Tuesday I check out the latest data posted via the TidyTuesday package.

• Bayesian Linear Regression and Classification in Python
• Natural Language Processing with Transformers
• Deep Learning for Coders with fastai and PyTorch.
• Tidy Modeling with R
• Coursera - Natural Language Processing with Classification and Vector Spaces
• Practical Data Science Specialization, learning how to combine my machine learning knowledge with AWS.
• Coursera - Building Cloud Computing Solutions as Scale
• edX Stanford Online - Statistical Learning

• Applied Predictive Modeling, with the book by Max Kuhn and Kjell Johnson Applied Predictive Modeling.

• Supply chain optimization through simulation.

• Internet of things

• Machine Learning Engineering for Production MLOps Specialization.

• Julia language with an MIT course.

• Discrete Optimization Algorithms.

• Design of Computer Programs - Peter Norvig

• Leveraging Shiny Extensions

• Outstanding User Interfaces with Shiny

• Javascript for R

• Engineering Production Grade Shiny Apps

• Happy git with R

• Having a look at the Friday challenges at 538 Riddler

• Statistical Rethinking.
• [Bayesian Data Analysis]

• The Full Bookdown Catalog

• Steve Nouri's Online Book Links
• R Public Library By Topic
• R Studio Conference Materials
• CRAN Machine Learning
• CRAN Task Views
• Bookdown
• Awesome Shiny Extensions

• Public APIs
• Big Query public databases

• Time Series Forecasting and Recommendation Systems using Tidymodels and Shiny dashboards.
• Natural language processing for text generation and classification