As part of my application, I have done a bit of web-scraping and analysis on DFP's blog. I hope you don't mind, and regardless I will make this code private as soon as the application is complete.

Using the 333 posts (at time of publishing), I did a quick sentiment analysis with help from the tidytext package. Aside from what is in my email, I also quickly plotted overall blog sentiment in 2019 and 2020:

I also compared the most frequent bloggers by sentiment:

And finally, because you might be wondering "what determines sentiment?", here are your blog's overall most common words arranged by their positive/negative scores:

I hope that you have some questions, and I would be happy to break things down more! I would be new to polling, but I wanted to demonstrate that I can bring some general technical skill instead. I love your work, and would be honored to join your team.

Thank you for your consideration, and hope you enjoyed!

Since applying, I got the idea to look at unique words between top bloggers. Below, each author has frequently-used words that are relatively unique amongst other top bloggers on the site. I wonder if any of these show words/topics that really are unique amongst yourselves?