Most problems that look technical aren’t.
They’re framing problems: unclear goals, missing context, and low trust in the data.
The failure starts early — with the questions no one asked.
Data doesn’t remove doubt. It forces clarity.
Decades building what others use to decide: the work of a Consigliere. Now relearning the craft.
I’m documenting a transition — from Analytics into Data Engineering and AI/ML — unfiltered, mistakes included.
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