I work in Strategic Finance at LinkedIn, which means my day job is turning messy, large-scale data into decisions that actually move the business. Over the past few years I've rebuilt how I approach that work almost entirely around AI, using it to write and optimize SQL pipelines, accelerate Python analysis, surface insights faster, and automate the parts of the job that used to eat entire afternoons. I've applied this across competitive intelligence, product performance analytics, audience analysis, and financial modeling, at a company where the data is about as complex and high-stakes as it gets. What I've found is that most data and analytics professionals know AI tools exist but aren't sure how to weave them into their actual workflow in a way that sticks. This isn't about replacing your skills, it's about making your existing skills dramatically more powerful. Whether you're an analyst, a data scientist, or someone in a strategy or finance role who works with data every day, I can help you figure out where AI creates the most leverage in your specific work and how to start using it in a way that's practical, not theoretical.