Economics · Data · Development

Ayodele Idowu

Economist & Data Scientist

I am an economist and data scientist in the final phase of my MSc in Development Economics at the University of Göttingen, Germany (DAAD Scholar).
I apply econometric, machine learning methods and data science tools, including R, Python, Stata, SQL/BigQuery, and Power BI, to answer economic policy-relevant and business-critical questions.
My research interests are in the intersection of development economics, environmental economics, agricultural economics, and machine learning in economics.

Portrait of Ayodele Idowu
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R Python SQL / BigQuery Stata Power BI Causal Inference Machine Learning Panel Data NLP Geospatial Analysis MAXQDA Google Earth Engine

What I work on

📐

Applied Econometrics

Microeconometrics, causal inference, quasi-experimental designs and panel data methods in R, Stata and Python.

🌍

Development, Agriculture & Environment

Development economics, agricultural trade, food security, carbon policy and environmental economics.

🤖

Data Science & Machine Learning

Reproducible pipelines, predictive models, NLP, dashboards and geospatial analytics at scale.

Selected projects

A few examples of ongoing and past work.

Economics + ML

Environmental Regulations & Agricultural Trade

Panel-data analysis of whether stricter EU environmental policies lead to carbon leakage via agri-food imports.

Digital Health

Digital Health & the Digital Divide

RA work on TB-focused digital health projects studying technology barriers and health worker facilitation.