Applied Economist bridging advanced quantitative modeling and national policy. I translate complex findings into actionable strategies for the World Bank, USAID, and Fortune 500 leaders.
Worked at & with
Ahmed Dawoud is an applied economist specialising in causal inference and Bayesian methods, with more than nine years turning quantitative evidence into decisions for senior executives, government ministers and development partners, including the World Bank and USAID.
He is Head of Research at Thirty Five Investment Holding in Qatar, where he works with the investment team on due diligence, feasibility analysis and opportunity screening across critical minerals, energy, infrastructure, food security and real estate in Africa, Central Asia, the Middle East and Europe.
He is also a Consultant to the Egyptian Center for Economic Studies (ECES), where he spent nine years rising from Research Analyst to Principal Economist and Head of the data science unit, where he led a team of economists and AI engineers, directed donor-funded policy research briefed to ministers, and built Egypt's first real-time labour-demand platform.
Previously, as Head of Decision Science at ProfitOPS.ai, he led causal-AI work for Fortune 100 clients including UPS and WestRock, and created ProRCA, an open-source tool that traces falling business KPIs to their root causes.
He has authored more than 15 studies, research papers and reports on trade, AI and labour markets, and Egypt–Gulf relations, and holds an honours economics degree, with a minor in statistics, from Cairo University.
Delivering impact for Governments, NGOs, and Corporations.
Architected a microdata collection framework across 100 companies. Synthesized a Causal Directed Acyclic Graph (DAG) to present strategic recommendations directly to the Minister of Trade.
Pioneered Egypt’s first talent demand platform. Designed an end-to-end pipeline processing 60,000+ job postings quarterly (ILO-ISCO-08 standard). Validated by World Bank stakeholders.
Dawoud, A., & Talupula, S. • arXiv
A causal inference package built on DoWhy to discover complete causal chain reactions.
Dawoud, A. • ECES Working Paper
Detailed framework for real-time intelligence of demand for skills and talent in the Egyptian labor market.
Dawoud, A., et al. • ECES Working Paper
Application of the UN/CEFACT model and UML to re-engineer national trade procedures, projecting a 70% reduction in export time.
Dawoud, A. • ECES Working Paper
Comparative study of Egyptian and Indian freelancers against global demand to identify success strategies.
Abdel Latif. A, & A. Dawoud • G20 Policy Briefs
A new framework for addressing economic informality in Arab nations, focusing on formal job creation and social mobility.
Dawoud, A. • ECES
Estimated the impact by measuring the disruptive effect of the pandemic on family planning activities and resources.
National Bank of Egypt (2023-2024)
Designed and led 30-hour hands-on data analysis workshops for senior leaders.
The Egyptian Parliament (2022)
Trained 15 Egyptian Parliamentarians on quantitative methods for policy evaluation.
Self-Directed Curriculum | 2018 - 2024
A rigorous, multi-year self-directed specialization combining advanced econometric theory with modern machine learning and causal inference methodologies.
Cairo University | 2017
Minor in Statistics. Graduated with Honors. Faculty of Economics and Political Science.