Analytical outputs
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Afghanistan CBNA — Key Visualizations
R · ggplot2 · rayshader · Kontur 2023
Population Density — Population Spike Map
3D spike map · Kontur 2023 · Mapped by A. Ahmadzai
Data Analysis & Development Economics
Double Master's from Göttingen & Florence. I specialize in humanitarian data analysis, econometrics, and turning large scale survey data into real world insights for development and policy.
I am a Development Economist and Data Analyst with a double Master's from the University of Göttingen and the University of Florence. My research sits at the intersection of humanitarian crises, internal displacement, and evidence based policy, using large scale panel data to understand how political transitions shape the lives of vulnerable communities.
My toolkit spans statistical programming (R, Stata), database management (PostgreSQL, SQLite), visualization (Power BI, ggplot2, plotly), and Python. I have processed IOM/DTM datasets with 64,000+ observations, built normalized relational databases, and produced publication-ready econometric results.
Beyond the technical, I have worked inside banking, research, and academic institutions bridging rigorous quantitative analysis with practical institutional realities.
End-to-end visualization pipeline processing 6 rounds of IOM's Community-Based Needs Assessment across 12,000–16,000 Afghan communities. Full data cleaning, harmonization, choropleth maps with sf, heatmaps, trend charts, and interactive plotly dashboards revealing humanitarian disparities.
Complete Stata pipeline analyzing IDP arrivals, aid delivery, and community vulnerabilities. Fixed vs. random effects models, clustered standard errors by province, lagged variables, interaction terms, and Difference-in-Differences for quasi-experimental evaluation of humanitarian intervention impact across 6 panel rounds.
Transformed a 64,812-row flat file into a fully normalized 3NF relational database covering 10,802 settlements across 6 rounds. Advanced SQL — LAG, RANK, NTILE, PERCENT_RANK, CTEs, difference-in-differences, moving averages, running totals, 5 reusable reporting views. Key: 467 high-displacement settlements received zero aid in Round 6.
Interactive Power BI report with dynamic data modeling, DAX measures, drill-through capabilities, and publication-ready visual storytelling. Built following PL-300 Microsoft Data Analyst certification principles — star-schema relationships, calculated KPIs, slicers, and report publishing.
Open to analyst roles, research positions, and data consulting especially in development economics, humanitarian analytics, and public policy. Open to remote and relocation.
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