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Explain the Data

Isaac Oresanya

AI engineering through real projects. I share what I build, how it works, and what I learn from testing it.

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Substack
PricingOnly free issuesPublishesWeekly
Issues61Foundeda year agoLast Issue13 days ago
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explainthedata.substack.com
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Latest Issues

I Built An AI Assistant From My Newsletter

(A quick update before we start 👀. I’ve been moving deeper into AI engineering, and I’ll be sharing more of that work. So yeah, expect more of this. The older data posts are staying, and this first project actually started with them.)

I h...

13 days ago
8

Actual vs Target vs Forecast

A company can miss its target and still have a strong year. It can also hit its target and still have a problem.

That sounds strange until you separate two ideas that often get mixed together: targets and forecasts.

A target is what the b...

a month ago
13
2

Stop Comparing Everything To Last Month

If a company makes $120,000 in sales this month, that sounds useful. But is it a good result or a bad one? You cannot really tell yet.

Maybe the company made $90,000 last month. Now $120,000 looks like an improvement. Maybe the goal was $1...

2 months ago
11

Stop Making Impossible Promises with Data

Weather forecasters never say “it will rain tomorrow.” They say there is a 70 percent chance of rain.

That small change makes a big difference. It tells you rain is likely, but it also leaves room for a dry day. Nobody gets mad at the fore...

3 months ago
5
2

Customer ID, Email, Or Name: Which One Should You Trust?

Working with data means working with real people, and real people are messy.

Every customer dataset needs a way to tell one person apart from another. That sounds simple until you try to do it.

Most teams end up choosing between three com...

3 months ago
4

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  • Isaac Oresanya

    I’m Isaac Oresanya. I’m moving from data and reporting into AI engineering, building systems and writing about the decisions behind them.

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