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Build & Learn: Data Science with Coffee 🎄Christmas Special🎄 2025-11-01 · 09:00 🎄 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.	Build & Learn: Data Science with Coffee 🎄Christmas Special🎄

🎄 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.

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