Feed an AI-agentic beast with proper data
Details
In this hands-on workshop we’ll work through four real-world scenarios in Python: finding the minimum viable context for sales questions, keeping frequency signals intact when summarizing support tickets at scale, selecting the right columns for churn analysis on a wide customer table, and extracting structured fields from messy product listings with validation you can trust. You’ll write and discuss code together — practical patterns you can take straight back to work.
Agenda
- 18:00 Doors Open
- 18:30 Start of the Workshop
- 20:00 Workshop Closing & Announcements
- 20:10 Networking
- 21:00 Event Closing
GitHub Repo
https://github.com/pyladiesams/feed-AI-agentic-beast-proper-data-jun2026
Stream
YouTube Stream
Speaker
Jessica Eggen
Jessica Eggen is a Data Analytics Engineer who loves to spent her time wrangling and puzzling with real-world data at scale. With a background in Business Analytics and machine learning she hopes to bring a practical, business-grounded perspective to AI.
📧 Contact
Are you interested in speaking at one of our events? Have a good idea for a Meetup? Get in touch with us at [amsterdam@pyladies.com](mailto:amsterdam@pyladies.com)
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