Quantitative textual analysis, word embeddings and shifting trade-talk sentiment
When investing in stocks, how many might be considered ‘just right’?
Covid-19 began battering the financial markets in February. Which sectors are faring best?
R packages that make doing data science a joy
Can cluster analysis tell us if we’re drifting farther apart?
Seeing the wood for the trees (and escaping the gloom)
Humans have the magical ability to plan for future events
Exploring colour palettes and small multiples with ggplot2
Criminal goings-on in a random forest (and the effects of time)
Every story needs a good plot
Exploring voting patterns with hierarchical clustering
Do we see more planning applications when house sales are depressed?
A little geospatial mapping and an unexpected find
A series of events that damped down sales in London
A tidy(verse) approach to the exploration of sets and their intersections
Welcome to the tidyverse with simple visualisations (and a little jittering)
With 34 years’ service at IBM, my core strengths are in boiling down complexity, and developing and articulating a strategy grounded in facts.
My time at “Big Blue” has enabled me 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 of 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.
MBA, 2000
Hult International Business School
