Win Maddox

Most analysts know AI could speed up their work but don't know where it actually fits. I do, because I rebuilt my own job around it. I work in Strategic Finance at LinkedIn, where my day job is turning messy, large-scale data into decisions that move the business. Over the past few years I've rebuilt that work almost entirely around AI: writing and optimizing SQL pipelines, accelerating Python analysis, surfacing insights faster, and automating 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. The results are concrete. I've led analyses across 500M+ users that changed product roadmaps, built the A/B testing methodology my team standardized on, and my AI-assisted workflows regularly turn week-long analyses into same-day answers. I also build with AI outside work, including autonomous agents that run entire workflows end to end, so I know the tools well beyond surface-level prompting. In coaching we work on your actual job: your queries, your datasets, your deliverables. You leave with AI workflows wired into your daily work, prompting patterns that hold up on real data, and hours back every week.