I forecast sales, plan inventory and supply for a living, which mostly means living inside the gap between what a forecast says and what actually happens. I got into data and automation the way most analysts do — by being tired of waiting on someone else’s report, then tired of re-running my own.
Most of my work sits at the intersection of supply chain operations and the tools that make analyzing it faster: SQL for the data, Python for the automation, Power BI for the conversation with people who don’t want to open either. More recently, that’s extended into using LLMs for the parts of planning that are more judgment than arithmetic — writing up exceptions, summarizing driver analysis, drafting the first pass of anything.
This site is where the slower thinking goes: essays when something’s worth writing up properly, the Lab when there’s working code behind a claim, the Garden for ideas I keep returning to, and the Stream for everything too small to be its own essay but too useful to lose.