Economist and quantitative scientist
Abdoul Wahid Massaoudou Namata
I turn complex economic data into reliable evidence, forecasts and analysis, to help institutions make better-informed decisions.
- 7Countries
- 10Projects
- 6Working papers
- 3Degrees
About
Economist and quantitative scientist in development economics, Bayesian time-series forecasting and causal impact evaluation. Turns unstructured administrative data into reliable statistics to help institutions make better-informed decisions, for the World Bank, the Government of Quebec and university research departments. Analyzes each decision-maker’s needs and generates the hypotheses to test, mines multiple data sources, quantitative and qualitative, inspects and adjusts their quality, and engineers the features the models need. Then leverages econometrics, machine learning and artificial intelligence to develop, evaluate and run predictive models, and communicates the results through clear presentations and data visualizations that influence decision-making.
I am currently a Research Consultant with the Development Impact Group (DIME), Development Economics, at the World Bank Group, working on national labour markets in Liberia and The Gambia, built from tax, payroll and business-registry systems. At the Chair in Macroeconomics and Forecasting at ESG UQAM I built a daily index of Canadian business conditions, 10,804 values from 1997 to 2026, and the monthly Bayesian Qual-VAR recession forecast at horizons of one to twelve months. At CIRANO I measured the tail of fifty-five years of Quebec budget forecast errors and turned it into a provisioning rule for the government. Earlier, at Orange Innovation in Paris, I designed the impact evaluation of the group’s social offers.
I am completing an MSc in Economics (quantitative) at ESG UQAM in Montreal, with a thesis on forecasting Canadian recessions. I hold a Master’s in Development Economics and a Magistère from CERDI, University of Clermont Auvergne, both with honours, and a BSc in Economics and Management from Hassan II University in Casablanca, also with honours.
Beyond the work
Outside research I play basketball and football, and I am a long-time chess player: the habits of long-term planning transfer more than you would expect. From September 2025 to September 2026 I was President of the Graduate Students’ Association in Economics at UQAM, organising academic events and managing the association’s budget.
Selected work
Experience
Mar. 2026 – Present
Research Consultant
Development Impact Group (DIME), Development Economics, World Bank Group
Labour market and digital economy diagnostics of Liberia and The Gambia, built from tax, payroll, business-registry and telecom data.
Jan. 2026 – Present
Research Assistant
Chair in Macroeconomics and Forecasting (CMP), ESG UQAM
Measuring Canadian economic activity in real time, forecasting recessions, and estimating monetary-policy rules.
Nov. 2025 – Jun. 2026
Quantitative Research Assistant
CIRANO, Montreal
Measuring how far Quebec's budget forecasts miss, to size the government's budget provision.
Sept. 2026 – Dec. 2026
Teaching Assistant, Financial Econometrics Lab (ECO8600)
ESG UQAM
Weekly three-hour lab of the graduate course Econometric Foundations of Finance, for finance practitioners.
Mar. 2024 – Aug. 2024
Data Analyst
Orange Innovation, Paris
Evaluating whether Orange's discounted offers for low-income households increase digital inclusion.
Areas of expertise
Econometrics & Risk
- Causal inference (DiD, IV, RDD)
- Bayesian time series (VAR, SVAR, ARIMA)
- Tail risk (VaR, Expected Shortfall)
- Monte Carlo simulation
- Machine learning
Data Engineering
- Microdata linkage
- PDF and web scraping
- OCR
- REST APIs
- Survey design
- Reproducible pipelines
Languages & Tools
- Python
- R
- Stata
- SQL
- MATLAB
- Git
- Power BI
- LaTeX
Global reach
Countries I have worked on or from. Click a marker for details.
- 🇨🇦 Canada
- 🇱🇷 Liberia
- 🇬🇲 The Gambia
- 🇫🇷 France
- 🇲🇦 Morocco
- 🇳🇦 Namibia
- 🇳🇪 Niger
Get in touch
Open to research collaborations and consulting work in applied economics and data science.