Abdoul Wahid Massaoudou Namata

Economist and Data Scientist

Abdoul Wahid Massaoudou Namata

World Bank Group · Montreal, QC, Canada

I am a quantitative analyst specializing in development economics, macroeconomic modeling and time-series econometrics. My work focuses on developing forecasting models in a Big Data context and on causal impact evaluation. I am also experienced in applying machine learning algorithms and deep neural networks for economic analysis.

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  • 7Countries
  • 10Projects
  • 6Working papers
  • 3Degrees

About

I am a data scientist and quantitative analyst, currently a Research Consultant with Development Impact (DIME) at the World Bank Group. I have previously worked with CIRANO, the Chair in Macroeconomics and Forecasting at ESG UQAM, and Orange Innovation.

Most of my work starts where the data is least usable: business registries, tax records, survey micro-data, all heterogeneous and often incomplete. I build reproducible pipelines that clean, reconcile and consolidate them: record linkage and fuzzy matching across systems with no common identifier, deduplication, imputation, and the quality controls that make a result defensible.

Alongside that I work on macroeconomic forecasting (Bayesian VAR and SVAR models, Taylor rules, conditional forecasts) and on causal inference for policy evaluation.

I am completing an MSc in Economics (quantitative) at ESG UQAM in Montreal. I hold a Master’s in Development Economics from CERDI in France and a BSc in Economics and Management from Hassan II University in Casablanca.

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. I currently serve as President of the Graduate Students’ Association in Economics at UQAM, where I organise academic events and manage the association’s budget.

Selected work

Machine Learning · Education Clustering Student Profiles, PASEC 2019 Unsupervised clustering of student profiles across francophone Africa, with PCA and radar-chart profiling of each cluster. Geospatial · ACLED Mapping Political Violence in Africa Georeferenced analysis of political violence events (2021–2024), with event markers scaled by reported fatalities. Macroeconomics · Time Series Business Cycle Decomposition of Canadian GDP Trend–cycle decomposition of Canadian GDP using the Hodrick–Prescott filter. Finance · Simulation Monte Carlo Simulation of a Canadian Portfolio Simulated return paths of a Canadian equity portfolio to characterise the distribution of outcomes and downside risk. Development · Panel Econometrics Chinese Financial Flows and Economic Growth Effect of Chinese financing on growth in 147 countries (2000–2021), using IV and dynamic panel methods. Development · Welfare Multidimensional Poverty in Africa Comparison of multidimensional poverty across African countries between 2011 and 2018.

All projects

Experience

  1. Mar. 2026 – Present

    Data Scientist, Research Consultant

    Development Impact (DIME), World Bank Group

    Labour market diagnostics for Liberia and The Gambia from national administrative data; record linkage across sources with no common identifier; field missions to negotiate data-sharing agreements.

  2. Jan. 2026 – Present

    Research Assistant

    Chair in Macroeconomics and Forecasting (CMP), ESG UQAM

    Bayesian Qual-VAR pipeline for Canadian recession forecasting; daily index of Canadian business conditions, 10,804 daily values; Taylor rules and a sign-restricted SVAR.

  3. Nov. 2025 – Jun. 2026

    Quantitative Research Assistant

    CIRANO, Montreal

    Budgetary provisioning methodology for the Government of Quebec; a budgetary database from 1970 to 2025; tail risk measures on fiscal forecasting errors.

  4. Mar. 2024 – Aug. 2024

    Data Analyst

    Orange Innovation, Paris

    Impact-evaluation methodology (DiD, RDD) for Orange's offers; quantitative and qualitative surveys; an OCR pipeline cutting manual processing time by over 30%.

  5. May 2023 – Jul. 2023

    Statistician and Research Assistant

    LASAARE, Hassan II University, Casablanca

    Survey database verification in CsPro; Logit, Probit and an instrumental variables specification with Heckman selection correction on household water consumption.

Full CV

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.

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