Ida specialises in the use of data science techniques and statistical methods on solving complex economic problems.
Ida has experience working on data science projects particularly relating to competition and energy sectors. She has conducted quantitative analyses using machine learning and econometrics, built extensive data science pipelines, and deployed data science tools including dashboards.
Prior to joining Frontier, Ida worked in the Financial Conduct Authority and Department for Environment Food and Rural Affairs. She studied Mathematics and Economics at the London School of Economics, and is currently completing a MSc in Data Science. She has also published a working paper on the impact of robo-advice on consumers’ decision making.