Abdoul Wahid Massaoudou Namata

Data Scientist and Quantitative Analyst

Abdoul Wahid Massaoudou Namata

World Bank Group · Montreal, QC, Canada

Data Scientist and Quantitative Analyst. I turn unstructured administrative data into decision-ready statistics, and build the forecasting and causal models that institutions act on.

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

About

Data Scientist and Quantitative Analyst with expertise in development economics, Bayesian time-series forecasting, and causal impact evaluation. Proven track record of transforming unstructured administrative data into decision-ready statistics for international organizations like the World Bank. Skilled in leveraging machine learning and advanced econometrics to drive evidence-based policy. Dedicated to the full lifecycle of data analysis: from securing data pipelines and designing rigorous identification strategies to translating empirical results into actionable advice, empowering state and institutional leaders to drive better, evidence-based decision-making.

I am currently a Research Consultant with Development Impact (DIME) at the World Bank Group, working on national labour markets in Liberia and The Gambia, built from tax, payroll and business-registry systems that share no common identifier. 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, which reads the state of the economy ahead of official GDP releases, and a Bayesian Qual-VAR that forecasts recession turning points rather than growth rates. At CIRANO I measured the tail of fifty-five years of Quebec budget forecast errors and turned it into a provisioning method for the government. Earlier, at Orange Innovation in Paris, I designed the impact-evaluation methodology for 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. 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.

Experience

  1. Mar. 2026 – Present

    Data Scientist, Research Consultant

    Development Impact (DIME), World Bank Group

    Building the evidence base on the labour markets and digital economy of Liberia and The Gambia, from national tax and payroll systems, business registries and telecom operator data: processing, cleaning and analysis.

  2. Jan. 2026 – Present

    Research Assistant

    Chair in Macroeconomics and Forecasting (CMP), ESG UQAM

    Tracking the Canadian economy in real time, ahead of official GDP releases: a daily index spanning 1997 to 2026 at 10,804 values, and a Bayesian model that forecasts recession turning points rather than growth rates.

  3. Nov. 2025 – Jun. 2026

    Quantitative Research Assistant

    CIRANO, Montreal

    Pricing the risk that a government's budget forecast is wrong: fifty-five years of Quebec budget plans turned into a measure of forecast error, and a provisioning rule built on its tail.

  4. Mar. 2024 – Aug. 2024

    Data Analyst

    Orange Innovation, Paris

    Measuring whether a telecom's social offers actually widen digital inclusion: an impact evaluation design, the survey instruments behind it, and customer databases of millions of records made usable.

  5. May 2023 – Jul. 2023

    Statistician and Research Assistant

    LASAARE, Hassan II University, Casablanca

    Explaining what drives household water consumption in Casablanca as the groundwater runs down: survey data checked line by line against the paper forms, then instrumental variables with a Heckman correction.

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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