About me
I am an economist and data scientist with a strong focus on applied econometrics, big data analytics, and machine learning for business and economic policy-relevant questions. I am currently in the final phase of my MSc in Development Economics at the University of Göttingen, Germany, where I work at the intersection of development, agricultural economics, environmental economics and econometrics.
In my work, I build and analyse large datasets using R, Python, SQL/BigQuery, Power BI and Stata, from data collection and cleaning, to visualization, causal inference and predictive modelling, and finally to clear, accessible communication of results to both technical and non-technical audiences.
I am both an economics researcher and a practitioner of data science and machine learning with over four years of experience. I enjoy taking real-world economic and business problems, translating them into empirical questions and delivering rigorous, reproducible analysis that can inform decisions.
Research and professional interests
- Development economics: poverty, migration, rural and urban livelihoods, and labor markets
- Agricultural economics: trade, food standards, land use, food security and agricultural productivity
- Environmental economics: climate policy, carbon leakage, renewable energy, and sustainable food systems
- Digital technologies and health analytics, business forecasting, business intelligence, customer analytics
- Applied econometrics, machine learning and geospatial analysis for policy evaluation
For selected publications, working papers and manuscripts in progress, see the Research page or my Google Scholar profile.