Sierra Leone CEM

Summary

The World Bank, Washington, DC, USA

• Job: Sierra Leone CEM - Agriculture Sector Deep Dive (in progress)
• Tools: FAOSTAT, R, R Markdown, ETL, EDA

Details

I was employed at The World Bank as a Short Term Consultant and I worked in the Sierra Leone CEM (Country Economic Memorandum) team specifically in the Agriculture Sector Deep Dive section. My primary responsibilities were to collect, analyze, and visualize the FAO (Food and Agriculture Organization) data specifically for the agriculture sector in Sierra Leone. To carry out this analysis, I employed diverse data science tools like ETL (Extract, Transform, Load) and exploratory data analysis (EDA).

Moreover, in order to ensure reproducibility, I carried out all of my work using R and R Markdown. This enabled me to present my findings in a clear and organized manner, as well as provided my colleagues with the ability to reproduce my work in the future if needed. Overall, my role at the World Bank allowed me to utilize my skills in data science to make valuable contributions to the Sierra Leone CEM.