I am a public policy researcher and developing data analyst with an academic background in Mathematics, Economics, and Public Policy Analysis. My interests lie at the intersection of data analytics, public policy, transportation, governance, and development.
I use quantitative analysis and data visualization to transform data into evidence that can support better policy and business decisions.
- R: Data cleaning, statistical analysis, visualization, regression analysis
- SQL: Data querying, joins, aggregation, database analysis
- Excel: Data analysis, PivotTables, XLOOKUP, dashboards, charts
- Statistical Methods: Descriptive statistics, hypothesis testing, logistic regression, exploratory factor analysis
- Research: Quantitative and qualitative research, policy analysis, academic writing
Quantitative analysis of political participation and trust in political institutions across Germany, Italy, Poland, and Sweden using European Social Survey Round 11 data.
Methods: R · Logistic Regression · Fixed Effects · Marginal Effects · Exploratory Factor Analysis
Business data analysis examining sales performance, profitability, customer segments, markets, and key performance indicators using Excel.
Tools: Excel · PivotTables · Data Visualization · KPI Analysis
I am currently building a portfolio of reproducible data-analysis projects focused on public policy and applied analytics, while strengthening my skills in SQL, R, Excel, and Python.
My longer-term interest is applying quantitative methods to transportation and infrastructure policy, particularly in developing-country contexts.
For a detailed overview of my education, research experience, projects, and professional experience:
- GitHub: akwesimerit
- Email: eannan@edu.hse.ru