Projects
Sea Monsters that Lost their Way
Predicting species of stranded cetacea with tidymodels and textrecipes
A Frosty Deal?
Quantitative textual analysis, word embeddings and shifting trade-talk sentiment
The Goldilocks Principle
When investing in stocks, how many might be considered ‘just right’?
Weathering the Storm
Covid-19 began battering the financial markets in February. Which sectors are faring best?
Favourite Things
R packages that make doing data science a joy
East-West Divide
Can cluster analysis tell us if we’re drifting farther apart?
Bigger & Brighter
Seeing the wood for the trees (and escaping the gloom)
Can Ravens Forecast?
Humans have the magical ability to plan for future events
Six Months Later
Exploring colour palettes and small multiples with ggplot2
Criminal Goings-on
Criminal goings-on in a random forest (and the effects of time)
Plots Thicken
Every story needs a good plot
Cluster of Six
Exploring voting patterns with hierarchical clustering
Digging Deep
Do we see more planning applications when house sales are depressed?
Surprising Stories
A little geospatial mapping and an unexpected find
House Sales
A series of events that damped down sales in London
Set Operations
A tidy(verse) approach to the exploration of sets and their intersections
Let’s Jitter
Welcome to the tidyverse with simple visualisations (and a little jittering)
Carl Goodwin
Data Scientist
Biography
36 years’ service at IBM have enabled me to evolve and deploy my core strengths of boiling down complexity, and developing and articulating a strategy grounded in facts.
My time at “Big Blue” provided the opportunity to work at scale including, for example, strategic planning for a $2bn-per-year revenue UK services business, and leading a global sales coverage strategy and alignment programme influencing how we allocated 40,000 sellers.
Skilled in exploiting data science for business, I especially like to use R for its flexibility and power. R is an open source language for statistical computing and graphics supported by the R Foundation for Statistical Computing, and is widely used among statisticians and data scientists.
To bring my work to life, I create my own graphics with my trusty iPad and Pencil, and occasionally post on R-bloggers.
I post-graduated with an MBA from Hult International Business School in London as valedictorian for 2001. And I live in London.
Interests
- Data Science
- Machine Learning
- Adobe Fresco
Education
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MBA, 2000
Hult International Business School