Hey folks,
A quick reminder that our next webinar is this Thursday at 2pm EDT: It's called "An AI Setup for Data Science Consulting" and covers AI-powered setups for consulting engagements. You can sign up here: www.linkedin.com/events/7461946295813980160
These webinars are free and open to everyone - if you know someone who'd find this useful, feel free to forward or repost.
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ABSTRACT
[06] An AI Setup for Data Science Consulting
Thursday, June 11, 2026 | 2:00-3:00pm EDT
Clients want the benefits of AI. Some can't picture what that looks like for their data. Others picture replacing the data scientist with a chatbot.
I'll walk through some setups I've used with consulting clients. They can sit anywhere on a spectrum: from shared context files, through a collaborative setup where the client and data scientist share organized data, prior analyses, and encoded expert context, to more engineering-heavy frameworks built on a foundation of fixed validated code. All are easier with AI. I'll show you examples of each but focus on an 80/20 middle ground that can get a client where they want to be, with the data scientist in the loop to QA the work and push it forward.
Attendees leave with my workflow for building one of these setups for a client.
This webinar is part of the AI Tools for Data Science & Stats series, sponsored by Polaris Data Labs and the ASA Section on Data Science and Statistical Learning.
Note: If you're interested in Claude Code setup for data science projects, check out our previous webinar: Claude Code for Data Scientists (June 4). If you're interested in how AI tools change what a solo data scientist or small team can do, see our next session: The Data Science Team of One (June 18).
UPCOMING WEBINARS
[06] An AI Setup for Data Science Consulting
Clients are asking for AI tools - and some are openly wondering if they still need you. I'll show you one Goldilocks setup where they get the benefit of your expertise and the ability to interrogate their data on demand.
[07] The Data Science Team of One
AI tools can act as a force multiplier for a solo data scientist. The key is being strategic about where you sit in the workflow and what actually gets multiplied. I'll show you what's worked for me.
PAST WEBINARS
[01] The AI Train Has Not Left the Station. (But Get On Board.)
The hardest part of using AI tools is taking the first step. Let's cut through the noise and get you started.
[02] Claude Code, Cowork, & Chat
If I had to pick just one AI tool, it would be Claude. But Claude is actually 3-in-1 - so let's walk through all of them.
[03] Claude Cowork for Data Scientists
Claude Cowork works way better when tuned to data science. I'll hand over the files, prompts, and architecture - and show you how to use them.
[04] Contextapalooza
Like a T-shirt cannon at a sports event, except everyone gets something useful. My favorite context files + the prompts to get AI to tune each one to your situation.
[05] Claude Code for Data Scientists
Claude Code runs a lot better once it knows your project structure, analysis workflow, and what you're trying to do. I'll show you my setup for building analysis, data science, and machine learning projects from scratch.
Hope to see you there!