Been interviewing for DS roles lately and got hit with something I didn't prep for — the "explain your result to a non-technical exec" moment.
Like, my model hit 0.87 AUC, cool. Then the interviewer says: "Now show me how you'd present this to our VP of Marketing who doesn't know what AUC means." And I just… stalled. I could talk about the math, but I couldn't sketch a chart that made the insight obvious to someone who doesn't care about the math.
This happened in 3 different interviews. Made me realize I'd been grinding code and metrics but barely practicing the visual storytelling part — which is honestly where decisions actually get made. Nobody reads your Jupyter notebook. They look at the chart.
So I started treating visualization as its own skill. One thing that's helped: when I finish an analysis, I'll try out different chart types quickly before committing to code. Been using ChartGen.AI for that — drop in a CSV, type something like "show revenue by quarter as a waterfall," and it spits out the chart in a few seconds. Not replacing matplotlib for final work, but it's handy for rapid prototyping when you just wanna see if a chart type works before spending 20 minutes coding it.
Curious — has this come up in your interviews too? Do hiring managers actually care about visualization skills, or was I just unlucky?