Elena Cossu

• Manage quantitative datasets and variables using syntax to undertake data management and analysis tasks.
• Carry out quantitative data analysis such as geographical matching and synthetic control.
• Carry out quantitative data analysis in RStudio, Stata, SPSS and Python.
• Interpret advanced analysis, drawing conclusions and making recommendations based on analysis outputs.
• Work with project team to devise an analytical approach appropriate to the data being investigated.
• Deliver presentations and reports to a wide audience to a high standard.
• Managing, cleaning, and formatting national longitudinal datasets such as the English Longitudinal Survey of Ageing (ELSA) for public and private clients in SPSS

Clients include: the UK Ministry of Defence, The National Lottery Community Fund, the UK Department for Education, the Education Endowment Foundation, the Department for Health and Social Care (DHSC), among others.

• Researcher as part of the Horizon 2020 funding scheme of the European Commission Delayed Transformational Fatigue in Central and Eastern Europe’, a Marie Skłodowska-Curie Innovative Training Network (MSCA)
• Organise, clean, manage, and analyse on a day-to-day basis different datasets with RStudio, STATA and Excel
• Assist with the analysis and the writing of reports of data for long-term research project
• Duty Stations for the Project:
  • European Bank for Reconstruction and Development (EBRD), Office of the Chief Economist, Transition Impact & Global Economics Team, London
  • the Slavonic School of Eastern European Studies (SSEES) at University College London (UCL)
  • Corvinus University of Budapest Institute of World Economy