About me
I'm Zahra — an economist, data scientist, and applied researcher based in Dublin, Ireland.
My work sits at the intersection of four things I find genuinely fascinating: economic theory, quantitative methods, financial analysis, and evidence-based policy. I'm drawn to problems where the data is messy, the stakes are real, and the answer actually matters to someone making a decision.
I build things that reflect that: causal inference models on Irish administrative data, AI-powered financial tools deployed on Google Cloud, NLP pipelines trained on tens of thousands of documents, and dashboards that turn complex datasets into something a non-specialist can act on. The thread connecting all of it is the same conviction that rigorous analysis, applied to the right question, changes outcomes.
My background spans economics and finance at undergraduate level and econometrics, data analytics, and competition policy at postgraduate level at University College Dublin. I've worked across academic research, financial consulting, and applied data projects always with the same goal: make the analysis useful, not just correct.
What am I currently working on ?
Volunteer Senior Consultant at Belfield Strategy Group , building data solutions and dashboards for Centra.
I'm also currently completing my MSc and actively building at the frontier of where economics meets machine learning. If the problem involves messy data, causal questions, or financial systems — I'm interested.
You can also read more about my work here.