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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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You are best off creating screenshots but keep in mind confidential infomation must be masked or excluded. Review you data sharing agreements, you don't need legal risk while prospecting for future roles.
Also consider replicating some existing builds with dummy data. Shows your skills and limits your risk. I love to hear about design. Why they built or approached the need this way.
Make the same designs with public data?