Manasi works across a range of practices as a junior data scientist, applying data-driven approaches to uncover insights and support decision-making.
Since joining in 2024, she has developed a particular interest in causal inference through machine learning, as well as the application of generative AI and natural language processing tools to extract meaning from unstructured data.
Recent work includes using large language models to assess skills gaps between university curricula and labour market needs, as well as designing interactive dashboards and visualisations that bring complex data to life for non-technical audiences.
Manasi has previously worked as a data analyst for a non-profit, where she collaborated with news organisations and aided data-driven stories with charts.
She holds a Bachelor’s degree in Applied Social Data Science from University College London and a Masters’ degree from the London School of Economics and Political Science.