Most portfolios I see are garbage - screenshots of dashboards nobody asked for, vanity metrics dressed up as "strategy." If you're in analytics and strategy, showing the output is a liability. NDAs exist. Competitive intel is real. Handing over a client's segmentation map isn't "transparent," it's a hiring risk.
What I actually want to see: the thinking. How you structured a clustering analysis to pressure-test a segmentation hypothesis. Where you caught a spurious correlation before it became a budget decision. whether you understand that last-click attribution is a lie we tell ourselves to feel good about ROAS.
Fake data is fine. r's built-in datasets are fine. a notebook walking through CUPED variance reduction on synthetic A/B test data? that tells me more than a 50-slide deck of someone else's quarterly review.
Code with generic variable names (brand, customer, spend) - clean, commented, reproducible. No proprietary outputs. If you can explain why you chose a hierarchical model over k-means for that segmentation problem, and where the assumptions break, you're already ahead of 90% of the "growth hackers" listing "data-driven" in their headline.
Theoretical depth beats performative scale every time