Build & Learn: Data Science with Coffee [DEMO DAY]
Event PAST

Build & Learn: Data Science with Coffee [DEMO DAY]

07 March Online

About this event

📅 Week 7: Presentation Day!
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

Feel free to join at any week and we will catch you up. There is no need to be at the beginning of the cohort to build. Complete beginners welcomed!

📌 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

🧠 Current Project
This cycle’s shared project is an image-based knowledge extraction system.

In Week 7, we celebrate and present. This is our Showcase Night.
Participants will:

  • Present their project (5–10 minutes each)
  • Demo their pipeline or flashcard system
  • Share challenges, lessons learned, and technical decisions
  • Give and receive thoughtful feedback

We’ve come a long way — from raw images on our phones to a complete, working portfolio project — and this week is about learning to clearly explain your ideas, your challenges, and the technical decisions behind your work.

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👋 Who Is This For?
🔹 Beginners who learn best by doing — no prior experience needed
🔹 Career switchers from product, engineering, design, marketing, or other fields who want to break into data
🔹 Analysts, engineers, and PMs looking to sharpen their skills or build real-world projects
🔹 Data professionals who want a creative playground outside of work
🔹 Anyone with big questions and a love for learning through experimentation

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BUILD. LEARN. EXPERIMENT. OVER COFFEE.
Come hang out, meet like-minded people, and work on something fun.
📍 Based in Berlin – in-person meetups only (for now!)
💻 Laptops + ☕ highly encouraged
Join our Discord → https://discord.gg/dPnmzcCP8w
Check out our program resources: Google Drive

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✨ 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. I am always open to suggestion for different format for this meetup.

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