Thais Cooke's Linkedin Analytics

I’ve always seen data as more than numbers in rows and columns: it’s a story waiting to be told. But stories can get lost when the data is messy, scattered, or hard to trust. That’s why I build modular, trustworthy data workflows that make stories clearer, more reliable, and ready to power both analytics and automation. Using SQL, Python, DuckDB, and Git, I design data systems that are reproducible, collaborative, and scalable, so data teams don’t just crunch numbers, they build knowledge that lasts. My work blends engineering discipline with analytical curiosity. I focus on quality, clarity, and governance, especially in healthcare, where data decisions have real impacts on people’s lives. To me, data systems shouldn’t just aim for performance, they should also be responsible, supporting ethical AI, better patient outcomes, and more human-centric technology. At the heart of it all, I believe clean, well-structured data is the foundation of every story worth telling, whether that’s a business insight, a machine learning model, or a decision that shapes someone’s future.