AI-Powered Forecasting in Central Banking
How predictive algorithms can improve GDP and inflation forecasting, enabling more transparent and timely monetary policy decisions.
About
I’m Natali Dzneladze, a student of Economics, Management, and Computer Science at Bocconi University. My work focuses on how data, policy, and technology can make economies more transparent and forward-looking.
- Skills: Python, R, SQL, LaTeX, Microsoft Office Suite, Stata
- Languages: English (Fluent), Georgian (Native), French (Advanced), Italian (Intermediate), Russian (Fluent), Korean (Beginner)
- Currently: Economics, Management and Computer science @ Bocconi University
Articles
The Algorithmic Economy — Who Really Benefits?
An analysis of how data-driven capitalism redistributes value and power, emphasizing the need for transparency and digital governance.
Rethinking Behavioral Economics in a Non-Western Context
An exploration of how cultural diversity shapes economic decision-making, arguing that Western-centric behavioral frameworks overlook community-driven, tradition-based motivations common in non-Western societies.
Why We Regret: Choice, Time, and Becoming
An exploration of regret as an outcome of intertemporal choice under bounded rationality, highlighting how hindsight bias, evolving preferences, and counterfactual thinking distort our evaluation of past decisions.
CV
Contact
Email: NataliDzneladze@gmail.com
LinkedIn: linkedin.com/in/natali-dzneladze-98a716291
Mobile: +39 344 465 6264