I’m Nima Hejazi, a business analyst who turns messy data into decisions people can act on. I hold a Master of Science in Business Analytics from UC Davis and have spent the last several years building Python data pipelines, interactive dashboards, and automation tools, work that has cut operational errors by 94% and reporting time by 98%. Before analytics, I spent over a decade leading software teams and running my own web development practice, so I’m just as comfortable architecting a system as I am explaining its results to stakeholders.

Lately I’ve been building at the intersection of data and AI—from RAG-powered chatbots to open-source automation utilities. Whether the problem is a tangled reporting workflow or a question no one has answered yet, I like finding the cleanest path from raw data to real insight.

I share what I learn through writing, covering topics in statistics, data management, and business. At the core of everything I do is a passion for problem-solving and building solutions that make a meaningful impact.