Understanding data

killed in analyzing datasets and communicating data-driven insights. Recently completed an integrated project focused on understanding water access data to identify trends and relationships.

Imported WHO water access dataset into Google Sheets and cleaned data to ensure accurate analysis.

Analyzed population data, calculating summary statistics and visualizing relationships between population size, urbanization, and access.

Compared sample to global estimated populations to quantify coverage; identified insights into distribution and central tendencies.

Evaluated access levels across geographic areas using statistical measures. Created visualizations to compare national, urban, and rural access.

Investigated access by income group through pivot tables and charts. Identified connections between income, urbanization, and access.

Created features to wrangle data and enable insightful visualizations. Experience working with large datasets in SQL, Python, and R.

Passionate about deriving meaning from complex data. Strong written and verbal communicator able to explain technical analysis to stakeholders. Excited to apply analytical skills as a data analyst focused on gathering impactful business insights