Week 4 Focus: Intro to MLOps & Deployment. Topics include packaging your model (move from experimentation to a reproducible, shareable format), setting up basic infrastructure with Docker, FastAPI, or simple cloud deployment, and thinking in pipelines (automating data inputs, retraining, and model monitoring).
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📢 This is our fourth cohort running — welcome back or welcome aboard!
📅 Week 4 Focus: Intro to MLOps & Deployment This week is all about: 🚀 Packaging your model — move from experimentation to a reproducible, shareable format. 🛠️ Setting up basic infrastructure — explore tools like Docker, FastAPI, or simple cloud deployment. 🔁 Thinking in pipelines — how do you automate data inputs, retraining, or model monitoring? You don’t need a full production system — just a taste of how real-world projects scale and operate. Let’s bring your models closer to reality!
🚀 Build & Learn: Data Science Meetup --- With Coffee 💡 Always wanted to build a data science project but struggle to start? Or just looking for a structured, motivating space to learn and create? This isn’t just a casual meetup—it’s a community-driven program designed to help you go from idea → working project → portfolio-ready presentation in 7 weeks.
🛠 What This Meetup Is About Build & Learn is a creative learning space for people who want to actually finish data projects — and grow their skills in a collaborative, motivating way.
You can choose your path: 🔹 Full Project Track (7 weeks): Go from idea → working project → portfolio-ready presentation. Perfect for building something real and getting weekly accountability.
🔹 Self-Learning Track (Flexible): Don’t have 7 weeks? No problem. Pick a concept you’ve always wanted to learn (e.g. clustering, causal inference, LLMs), do a deep dive, and present your learnings or a mini-build to the group. It’s short, focused, and fully peer-supported.
📌 You’ll walk away with: 🎯 A working project to add to your portfolio, blog , GitHub, or resume 🎯 definitely some caffeine in your system ☕
💡Not sure what to build ? You don’t need to show up with a fully formed idea — just curiosity. We’ll help you explore different paths based on your time, interests, and goals: 🔹 Full Project Track – Build something from scratch over 7 weeks 🔹 Self-Learning Track – Deep dive into a concept and present what you learned 🔹 Pro Bono Track (coming soon) – Work on real problems from real businesses (like a mini consulting project!)
(We’ll share inspiration and example ideas at the event — or you can bring your own.)
✨ 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 applications. 📅 When? Saturday , Oct 4 11:00 AM- 1:00 PM 📍 Where? : Wework Alexanderplatz 💻 Bring: Your laptop, an idea, or just curiosity! 👩💻 **No experience needed—just curiosity.**Grab a coffee, meet cool people, and work on something fun.
Sessions & talks
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