This page is still under construction. You can find some of my work below or find me on LinkedIn / twitter or take a look at my My CV.

Speaking

• On experimental drift and product driven data design: A talk I gave at PyData London 2022

• Learning from Pilots: A talk about how to learn from small non-randomized pilots, setting up good experementation for rare events / small groups and organizing insights from multiple experiments.

• Please, don’t tell me what’s in the picture: My talk from NDSML about our journy towards image based catalog classification. Also on YouTube

• Talking Bayes to Business: Marketing spend use-case (from EARL2019)

• Bayesian Divination: My presentation on Bayesian structural time series from Berlin Bayesian meetup at 2019. Video / Slides / Code

• Un-natural Language Processing: Slides from my presentation at WhyR 2018

• Ordinal Risk-Group Classification (my MA thesis)

Projects & writing

• Systems and methods for recommending retailer-supplier associations to support volume stability (US Patent US20220076306A1)

• Coding in SQL: Doing more with SQL

• Large scale quotient graphs and similarity calculations python package / R package / paper

• An interactive generative music app written in R/Shiny. See source code

• A slack “chatbot” using R-Plumber

• Protocol Gifts: Scraped data from the US department website about presents give to POTUS. See also dataset on Kaggle

• Analysis of the Poluto dataset (see also source)

• The cost-effectiveness of stress testing using high-frequency QRS analysis