This reminded me of a talk [1] at pyData Berlin some years ago.
Vincent demonstrated how he used some ML techniques to create fake pokemon sounding names to put into his LinkedIn resume. So that he could filter out headhunters without any real knowledge.
To quote from my notes [2] of the conference:
> There is a striking phonetic similarity between big data technology and pokemon names. Can you create a service that generates strings that sound like potential pokemon names? And what might be the simplest possible way to make that into a service? Also, would it be possible to generate pokemon names that start with three random characters and end with 'base' (KREBASE, MONBASE would be appropriate but IEYBASE would not be).
Vincent demonstrated how he used some ML techniques to create fake pokemon sounding names to put into his LinkedIn resume. So that he could filter out headhunters without any real knowledge.
To quote from my notes [2] of the conference:
> There is a striking phonetic similarity between big data technology and pokemon names. Can you create a service that generates strings that sound like potential pokemon names? And what might be the simplest possible way to make that into a service? Also, would it be possible to generate pokemon names that start with three random characters and end with 'base' (KREBASE, MONBASE would be appropriate but IEYBASE would not be).
[1]: https://www.youtube.com/watch?v=0hR4peP9V4A
[2]: https://gist.github.com/sdoering/37203f3301c6f0b9f48f76a976a...