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đź“… Week 1 Focus: Kickoff & New Shared Project Theme

We’re starting a new 7-week cycle with a clear theme:
building one data science project together from start to finish. 👩‍💻 No experience required

Each 7-week cycle focuses on a small, well-defined part of a larger system—and over time, these cycles build toward a complete, real-world project (covering data engineering, data science, and deployment).

You’re welcome to work on your own project if you prefer, but the shared project gives everyone a common foundation and learning rhythm.

đź§  2026 First Project
This cycle’s shared project is an image-based knowledge extraction system., including:

  • Taking photos of book pages or documents
  • Extracting and cleaning text from images
  • Structuring that information into something useful (e.g. flashcards, notes, summaries)

📌 By the End of a Full Cycle, You should Have
🎯 A working project in your own GitHub repo
🎯 A small but real portfolio piece you can demo or write about
🎯 Experience going from messy inputs → concrete outcomes
Perfection isn’t the goal—finishing something real is.

✨ Who’s Hosting?
I’m Lindsey, a senior data scientist working on AI, causal inference, and data products.
I’ve built models for fraud detection, uplift modeling, and LLM-based systems—and I care a lot about learning through building, not hype.

📅 When: Saturday, Jan 24 · 9:30–11:30
📍 Where: Torstraße 59, Forward Earth
💻 Bring: Your laptop, an idea—or just curiosity

Related topics

Events in Berlin, DE
Artificial Intelligence Machine Learning Robotics
Machine Learning
Data Science
Data Science using Python
Open Source

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