Dr. Ramin Khavarzadeh

I chose statistics as a field of study, but what I took from it was not a discipline — it was a lens. I read economic statistics at Shahid Beheshti University, then earned a PhD in applied statistics at Tarbiat Modares. From those years one thing became clear, and I still return to it: the hardest part of any problem is not the model — it is understanding the question you are actually asking.

A research fellowship at Jaume I University in Spain and time in Düsseldorf were my first serious encounters with data outside textbooks — from a Michelin project to market research for Mercadona. There I learned that real-world data is incomplete: it arrives late, and someone must decide what to do with those limits.

I built SData because analysis alone was not enough. A report nobody reads and a model that never reaches a decision might be correct and still effectively nonexistent. Building a data operation — its systems, its team, and accountability for its mistakes — taught me what no paper did: a simple system that works is worth more than an impressive one that does not.

Digikala showed me scale — years as director of customer service and marketing, then as an advertising and analytics advisor. At scale, elegant language runs out quickly; what remains is sound measurement.

Over these years consulting took me from one industry to another — automotive to banking, food to retail. The topics changed, but the question stayed the same: which decision is this data meant to change? That is where the line between analyst and business operator blurred for me; good analysis without operational understanding is just tidy mathematics.

Today I am CEO of Positron Shop. From the outside it may look odd that a statistician became a CEO; from the inside it is the same path — only now the distance to the decision is as short as it can be. Every model we build or skip, I live with the outcome. There is no more honest test for a data scientist.