Well, I did voter profiling, and in my case I tried some clustering statistical methods, but IMO the best clustering involves a lot of human in the loop, keywor

Well, I did voter profiling, and in my case I tried some clustering statistical methods, but IMO the best clustering involves a lot of human in the loop, keywords etc. It's a lot of cualitative work, I couldn't find any way to streamline clusters that made sense both in an operational level and understandable for non-tech/stats people. I was supposedly an assistant with the data pipeline but in the end was pretty much in charge of 90% of it's logic. Devs made the scrapers and some automated data adquisition, that got dumped into a data lake, I took the data from the data lake, I made a huge DB of voters with many columns (+30 don't remember exactly) from which I made a ruleset for initial clustering, based on conversations with creatives and operations and some of my own ideas, and that data got used for Ads people and operations people (basically, the ones that handle campaigns and volunteers). I know that devs eventually made a nice front-end for it, but it was basically ETL work, and instead of "buyer persona" it was kinda "voter persona". It was fairly sofisticated and honestly, it worked pretty well.