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🎄 Build & Learn: Christmas Special- "Agents & the Future of Work" This is our Fifth 7-week cycle. This cycle, instead of everyone building different projects, we’re diving deep together — into one of the most exciting frontiers in AI: Agentic Flow.

🤖 How can we make LLMs reason, plan, and act more like agents? 💰 How do we evaluate cost, performance, or collaboration between agents? 🧩 Which frameworks actually make this easier — LangChain, CrewAI, Autogen, or something new?

Week 1 — Kickoff: What is Agentic Flow?

• Short intro talk + demos of different agent frameworks (LangChain, CrewAI, Autogen, etc.)
• Everyone defines a subtopic or question to explore (e.g., cost tracking, evaluation, multi-agent orchestration).
• Set up environment and pick framework. *

🧭 Possible Individual Topic Ideas

• 📊 Cost Analysis: Track and visualize token usage across frameworks.
• ⚙️ Evaluation: Compare performance of 2 frameworks on the same multi-step task.
• 🧠 Reasoning Styles: Study how different agent setups approach problem-solving.
• 💬 Communication: Design multi-agent conversations for task delegation.
• 💼 Use Case Mini-Build: A practical agent (data summarizer, code reviewer, customer insight bot).

This 7-week themed cycle is about experimenting together — each of us exploring a small slice of the same big question, so we can learn faster by comparing notes.

✨ 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 , Nov 1, 10:00 AM- 12:00 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.

📅 Week 7 Focus: Presentation & Demo Day! It’s showcase time! This week marks the end of our FOURTH cohort of the Build & Learn: Data Science Meetup — and we’re celebrating with live project demos from participants.

📍 Location: Forward Earth is a Berlin-based climate-tech company supporting open learning and innovation in data and sustainability.

Torstraße 59 , 10119 Berlin

🧠 Check out the projects we’ve been working on here. Whether you’ve been building with us from Week 1 or just curious to see what it’s all about, you’re warmly invited! 💡

Newcomers are welcome — you can join at any point and start your own 7-week cycle. We do a rotating format, so there’s always a fresh presentation every 7th week.

📝 What to expect:

Each presentation will be \~5–10 minutes + short Q&A. We’ll use the signups to plan the schedule and make sure we fit everyone in.

📱 If you need help finding the location, feel free to ping me at [4917656099297]

This week, we’re zooming in on one of the most underrated skills in data science: communicating your project effectively.

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).

Week 3 focus: Intro to Modeling. Now that your data is cleaned and explored, it’s time to build your first model. This session covers training a basic model (regression or classification), evaluating performance with simple metrics, and starting to think about iteration and improvement.

Kickoff and project setup for Week 2 of Build & Learn: Data Science Meetup. Overview of Full Project Track and Self-Learning Track, with guidance on how to start a data science project and prepare for a 7-week journey.

Kickoff for Build & Learn: Data Science Meetup — Week 1. Focus on setting up your tools, getting GitHub ready, choosing a project, and committing to building.

📅 Week 7 Focus: Presentation & Demo Day! It’s showcase time! This week marks the end of our THIRD cohort of the Build & Learn: Data Science Meetup — and we’re celebrating with live project demos from participants.

📍 Location: Cinema Room @ The Base , Pestalozzistraße 5-8, 13187 Berlin

🧠 Check out the projects we’ve been working on here. Whether you’ve been building with us from Week 1 or just curious to see what it’s all about, you’re warmly invited! 💡

Newcomers are welcome — you can join at any point and start your own 7-week cycle. We do a rotating format, so there’s always a fresh presentation every 7th week.

📝 How to sign up:

👉 Please add your name, project title, and link (GitHub / slides) to this sheet: https://docs.google.com/spreadsheets/d/1nJN03A_WwgwC2ff3oRjO8HmtBUUbAI_MBlOV_kzJXtA/edit?usp=sharing

Each presentation will be \~5–10 minutes + short Q&A. We’ll use the signups to plan the schedule and make sure we fit everyone in.

📱 If you need help finding the location, feel free to ping me at [4917656099297]

This week’s focus is storytelling and presentation in data science, with emphasis on communicating your project effectively.

Week 3 Focus: Intro to Modeling. Train a basic model (regression or classification); Evaluate performance using simple metrics; Start thinking about iteration and improvement.

📅 Week 2 Focus: Kickoff & Project Setup

We’re re-starting our third 7-week cycle — time to launch a fresh project. 📅 Week 2 Focus: Data, EDA & Features This week is all about: 🔍 Finding or collecting your dataset — scrape it, query an API, or use an open source source 📊 Running quick EDA to understand the shape and story of your data 🧠 Starting basic feature engineering to prep for modeling You don’t need perfect data — just enough to explore, learn, and iterate. Let’s dig in!

🚀 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 , July 26 10:00 AM- 12:00 PM 📍 Where? : Mindspace, Skalitzerstraße (Coworking Space, Kreuzberg) We’ll experiment with different spots over the next few weeks — if you know a great venue or want to host, let me know! 💻 Bring: Your laptop, an idea, or just curiosity! 👩‍💻 **No experience needed—just curiosity.**Grab a coffee, meet cool people, and work on something fun.