Messy data in. Decisions before lunch.
I turn messy operational data into dashboards, automations, AI tools, and reports you can actually act on — delivered with an opinion, not a hedge.
Saved by turning a twelve-hour weekly report into a five-minute one.
Four things, done properly.
AI didn't make analysis easier. It made shipping the fix cheaper.
The analysis still takes judgement — that part is mine. What changed is the gap between the finding and the fix: the tool that used to be a three-month IT request is now a week of building with AI in the loop, and I hand it over working.
Models where they pay off
Forecasts, classification, document extraction, and LLM steps inside a real workflow. If a rule does the job, I'll say so and skip the model.
The work nobody should be doing
Data pulled, cleaned, joined and delivered on a schedule. Copy-paste, re-keying, and the Monday morning export all disappear.
A working tool beats a spec
I build the internal app with AI, put it in front of you in days, and change it while you watch. You react to something real instead of approving a document.
AI writes a lot of the code. I own the decisions, the data model, and whether the number is right — and I'll tell you which parts of your problem don't need AI at all.
Santiago Arredondo
InteliQData is the name I work under. One person, a point of view, and a promise of clarity — you'll always know who did the work and what they think.
The Q, read as a crosshair. A sight lining up on the one number that changes the decision. Signal, found in the noise.
Fewer, better. Here's the kind of thing I hand over.
Find the number. Argue the point. Hand you the fix.
Find the number
I go into your data until three numbers explain the business. Not thirty.
Argue the point
You get a position, not a menu of options. Including the one you won't like.
Hand you the fix
A dashboard, an automation, or a report — something in your hands, not a slide.