What are people's thoughts on having a portfolio project where the end result isn't necessarily impressive but the project shows that you have learned a lot through the process of working on it?

For context, I am in the final stages of wrapping up a time series forecasting problem that would have had some pretty useful business utility. I didn't know much about TS before starting it. Admittedly, I was pretty guilty of watching Youtube videos of guys solving trivial TS problems and just assuming that an ARIMA model can handle anything. Boy, I was wrong! About half way through working on the problem I came to the conclusion/discovered that the predictions were …

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