Econometrics, machine learning and quantitative methods for transforming data into forecasts, decisions and resource allocation.
01About
Full profileBuilding decision systems that transform uncertainty into informed action.
I am interested in transforming quantitative models into practical decision systems. Currently completing a Master's in Data Science & Econometrics, my work sits at the intersection of economics, machine learning and complex systems, with a focus on understanding behaviour before predicting or optimising it.
Foundations
My training combines economics, econometrics and machine learning around a common objective: understanding how information, incentives and uncertainty shape observable behaviour.
Research
I am interested in the mechanisms that turn individual interactions into collective behaviour, and observations into reliable decisions.
Method
I begin with explanation before prediction. Models should first help understand a system before attempting to optimise or automate it.
Direction
I hope to contribute to organisations where quantitative models become practical decision systems—in finance, research and other data-intensive environments.
