Frank Hopkins – Medium

Frank Hopkins

Published in
BBC Studios Data and Engineering

Unlocking Long-Term Insights: How BBC Studios Utilises Meta-Analysis for Meaningful Research…

In the ever-evolving landscape of media and entertainment, making informed decisions is paramount. At BBC Studios, we are committed to…

Oct 11

Unlocking Long-Term Insights: How BBC Studios Utilises Meta-Analysis for Meaningful Research…

Oct 11

Published in
Towards Data Science

Propensity Score Matching (PSM) for A/B Testing: Reducing Bias in Observational Studies

A comprehensive guide to implementing PSM with your experimental data, including Python code

Apr 26, 2023

Propensity Score Matching (PSM) for A/B Testing: Reducing Bias in Observational Studies

Apr 26, 2023

Published in
Towards Data Science

Detecting Sample Ratio Mismatch in your A/B Tests

This post helps you identify whether you have unbalanced cohorts in your digital experiments and incorporates some basic Python functions…

Oct 20, 2021

Detecting Sample Ratio Mismatch in your A/B Tests

Oct 20, 2021

Scraping FBRef to perform comparative football player analysis

This article breaks down some Python functions I wrote in order to compare Arsenal prospects and their attributes, using FBRef

Jul 20, 2021

Scraping FBRef to perform comparative football player analysis

Jul 20, 2021

Why did Arsenal perform so badly in 2020/21?

Here I use some basic machine learning techniques with 2020/21 English Premier League (EPL) data to try to get to the bottom of Arsenal’s…

Jul 2, 2021

Why did Arsenal perform so badly in 2020/21?

Jul 2, 2021

Published in
The Startup

Predicting Arsenal Fixtures with Elo Scores

How Premier League Elo scores can be used to predict the outcome of fixtures, using classification models in Sklearn

Jan 31, 2021

Predicting Arsenal Fixtures with Elo Scores

Jan 31, 2021

Published in
Towards Data Science

Bayesian A/B Testing with Continuous Variables — including Python Code

This article discusses how Bayesian estimation can be implemented in your digital experimentation methodology, with a specific focus on…

Nov 4, 2020

Bayesian A/B Testing with Continuous Variables — including Python Code

Nov 4, 2020

Published in
Towards Data Science

CUPED R-Shiny Tool

Introduction to CUPED

Oct 11, 2020

CUPED R-Shiny Tool

Oct 11, 2020

Published in
BBC Data Science

Increasing experiment sensitivity through pre-experiment variance reduction

This article discusses how the Experimentation team have been accounting for pre-experiment variance in order to increase the statistical…

Sep 24, 2020

Increasing experiment sensitivity through pre-experiment variance reduction

Sep 24, 2020

Published in
Towards Data Science

Using Dot Plots With Experimentation Data

This article will show how dot plots can be used to translate your experimentation findings in a digestible and jargon-free manner

Apr 21, 2020

Using Dot Plots With Experimentation Data

Apr 21, 2020

Frank Hopkins

Frank Hopkins

Experimentation Data Scientist, specialising in digital experimentation. Posts ranging from data science to website optimisation and digi-analytics.

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