📅 Week 2 Focus: Kickoff & Project Setup

We’re re-starting our FOURTH 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 ,September 20 10:00 AM- 1.00 PM 📍 Where? : Food Factory Cube 💻 Bring: Your laptop, an idea, or just curiosity! 👩‍💻 **No experience needed—just curiosity.**Grab a coffee, meet cool people, and work on something fun.