I’m Martin Chan, a data scientist with a background in strategy consulting, data science, and market research. My interest is in identifying data science solutions (particularly, in R!) in order to make these decision-making processes more well-informed and rigorous. I’m also interested in particular topics such as:
- Statistics and epistemology - how do we know?
- Text mining and natural language processing
- Automating workflows of ’knowledge workers’through programming - to reduce error, increase efficiency, and spend less time doing, more time thinking
I currently work at Microsoft, on Viva Insights and Copilot Analytics. Before that, I spent several years in strategy consulting in London, where we helped our clients solve strategic problems and grow their businesses profitably. Examples of what we worked on include opportunity sizing, customer segmentation and trend identification, but the problems we worked with tend to be open-ended and therefore no solution is ever off-the-shelf.
I’ve written several R packages as an exercise to collate and organise the most useful functions that I’ve written for my analysis. Most of these are available on GitHub, and a couple — {rwa} and {hkdatasets} — are now on CRAN. I love interacting with the R community, so you can occasionally spot me at the EARL Conference or the various R Meet-ups in London. Find out more about me here.
To find out more about my work, check out my portfolio and my blog.
If you’d like to get in touch about data, R, or strategy, feel free to email me or connect with me on LinkedIn.