Amirreza akbari

I turn messy, scattered data into dashboards and decisions that people actually use.

Over the past year I've built a data analytics practice from the ground up: professional certificates from IBM, Google, and Microsoft in data analysis, business intelligence, and business analysis; a Microsoft SQL Server certification; hands-on Power BI and Tableau project work; and a 23-project portfolio spanning banking risk, retail sales, healthcare operations, supply chain, and financial performance (FP&A, budget variance, cash flow modeling in Excel and Power Query).

Most recently I worked as an AI trainer, evaluating large language model outputs for accuracy, reasoning, and instruction-following — work that sharpened the same instinct a good analyst needs most: knowing when an answer is actually right, not just plausible. Before that, I spent four years designing curricula and coaching adult learners toward measurable outcomes (100% IELTS/TOEFL pass rate, 85% engagement gains), alongside a parallel career translating books and writing professionally in Persian and English.

What connects all of it: I'm good at taking something complicated — a dataset, a language, a business process — and making it clear enough for someone else to act on.