Data Media Science is an independent consulting practice built on a simple belief. Strategic decisions deserve better than intuition. I combine rigorous data science with hands-on AI automation and campaign execution to deliver clarity to founders, marketing leaders, and finance teams who need both.
I started my career as a data scientist because I was frustrated by how often major business decisions were made with almost no analytical support. Gut feelings, outdated dashboards, opinions dressed up as insights, this was the default.
Over the past decade, I've worked across data science, AI automation, paid media strategy, and analytics engineering to close that gap. I've built measurement frameworks in Google Analytics 4 and Google Tag Manager for businesses that needed to trust their own numbers. I've managed multi-platform performance campaigns where every shekel had to justify itself. I've built predictive models and AI-powered systems that changed how founders think about their own products.
Data Media Science is the practice that emerged from that work. A focused consultancy for organizations serious about making evidence-based decisions at every level, from creative testing to board-level strategy.
Great consulting isn't a deliverable — it's a standard. These are the commitments I hold to myself on every project, without exception.
Every recommendation is backed by measurable evidence. If the data doesn't show it, I don't say it. No jargon, no hand-waving, no dashboards designed to impress rather than inform.
You see the methodology, the assumptions, and the raw outputs. Every client leaves with documentation they can hand to any future partner, because lock-in isn't a business model I respect.
Analytics that doesn't change a decision is a hobby. I measure my own success by the commercial outcomes I help unlock revenue lifted, budget saved, risk averted, clarity achieved.
Each engagement adds to a library of patterns, pitfalls, and proven frameworks refined across industries and always returned to the client in a usable form.
Advising founders, marketing directors, and finance teams on data strategy, AI automation, GA4/GTM architecture, and multi platform campaign performance.
Led paid media strategy and measurement for multi-brand portfolios, translating campaign data into board-level commercial narratives and iterative optimization programs.
Built the statistical and engineering foundation of the practice predictive modeling, SQL pipelines, attribution analysis, and the quiet discipline of thinking clearly under uncertainty.
M.Sc. in Industrial Engineering & Management — the analytical rigor and systems thinking that underpin every engagement.
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