Curriculum Vitae

Abdoul Wahid Massaoudou Namata

World Bank Group · Montreal, QC, Canada

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Summary

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.

Experience

  1. Mar. 2026 – Present

    Data Scientist, Research Consultant

    Development Impact (DIME), World Bank Group

    • Contribute to in-depth labor market diagnostics for Liberia and The Gambia, the evidence base for World Bank program design and for government partners.
    • Negotiated the collaboration frameworks and formal data-sharing agreements with national tax administrations on which the project depends, on mission with public and private institutions, and secured access to the administrative data behind every statistic that followed.
    • Rebuilt the link between workers and firms in payroll data that arrived without one: over 70% of tax identifiers were missing, and exact and fuzzy matching across administrative sources restored coverage for roughly half the affected records.
    • Consolidate national-scale, multisource tax and payroll microdata into dedicated, documented research databases.
    • Automated extraction from paper and PDF national business registry documents, converting unstructured records into an actionable firm-level database.
    • Maintain reproducible, version-controlled pipelines with systematic quality, consistency, and reliability checks, ensuring the validity of statistics delivered in final reports to World Bank teams and partner organizations.
  2. Jan. 2026 – Present

    Research Assistant

    Chair in Macroeconomics and Forecasting (CMP), ESG UQAM

    • Built and maintain a daily index of Canadian business conditions, 10,804 values from 1997 to 2026, estimated by maximum likelihood with an exact Kalman filter on a mixed-frequency dynamic factor model over four activity components. It reads the state of the economy ahead of official GDP releases, and it is built to be checked by someone else: 318 unit tests, a replication package validated by 26 automated checks, a benchmark against the Desjardins leading indicator replicated from its own R code, and the sample extended back to 1981.
    • Built an end-to-end pipeline for Bayesian estimation of a Qual-VAR model for Canadian recession forecasting, forecasting binary turning points rather than growth rates.
    • Build and maintain the real-time database of official macroeconomic series behind the team's forecasts (Bank of Canada policy rate, inflation, output gap), managing revisions so vintage-based results hold.
    • Estimate Taylor rules by GMM and instrumental variables, and a Bayesian SVAR identified by sign restrictions, on Canadian monetary policy.
    • Research assistance on arXiv:2605.15092, Monetary Policy in the Media Spotlight (Ayivodji, Briand, Moran, Stevanovic, 2026).
  3. Nov. 2025 – Jun. 2026

    Quantitative Research Assistant

    CIRANO, Montreal

    • Proposed a quantitative methodology to determine budgetary provisions for the Government of Quebec, delivered as a policy report.
    • Built a novel budgetary database by automating extraction (web scraping, pdfplumber) from Quebec government budget plans spanning 1970 to 2025, matching projected and realized values (T, T+1) to measure fiscal forecasting errors.
    • Quantified budgetary risk by estimating tail risk measures (Value-at-Risk, Expected Shortfall) on the distribution of forecasting errors.
  4. Mar. 2024 – Aug. 2024

    Data Analyst

    Orange Innovation, Paris

    • Designed an impact evaluation methodology (DiD, RDD) for Orange's offers, grounded in a literature review.
    • Developed quantitative and qualitative surveys to measure the effect of social offers on digital inclusion.
    • Cleaned, harmonized, matched, and merged massive multisource customer datasets (Python: pandas; R: tidyverse).
    • Automated data extraction via an OCR pipeline, reducing manual processing time for paper offer submissions by over 30%.
    • Communicated analytical results and visualizations to non-technical teams, informing the implementation phase of the program.
  5. May 2023 – Jul. 2023

    Statistician and Research Assistant

    LASAARE, Hassan II University, Casablanca

    • Verified the survey database in CsPro against the original paper forms, performing data cleaning, recoding, and missing value treatment before authoring the final report.
    • Estimated econometric models (Logit, Probit, and an instrumental variables specification with Heckman selection correction on Cobb-Douglas and Stone-Geary forms) to identify the socio-economic determinants of household water consumption in Casablanca under groundwater depletion.
  6. Dec. 2024 – Apr. 2025

    Teaching Assistant, Macroeconomics

    Université du Québec à Montréal

    Graded undergraduate assignments and exams; proctored midterms and finals for large cohorts.

  7. Jan. 2025 – Apr. 2025

    Research Logistics Assistant

    Université du Québec à Montréal

    Centralized faculty publications in collaboration with the Rectorate; contributed to ESG UQAM's internal research database.

  8. Feb. 2023 – May 2023

    Private Tutor in Statistics

    Anacours, Clermont-Ferrand

    Individualized tutoring in statistics and economics at bachelor level.

Education

2024 – Dec. 2026, in progress

MSc in Economics (Quantitative)

Macroeconomics, Econometrics and Forecasting. Thesis: Forecasting with the Qual-VAR Model, the Case of Canada, on recession forecasting from a latent continuous variable and a binary turning-point indicator.

Supervised by Prof. Dalibor Stevanovic (UQAM)

School of Management (ESG UQAM), University of Quebec in Montreal, Canada

2022 – 2024

Master's in Development Economics

Applied Economics

Clermont School of Economics (CERDI), University of Clermont Auvergne, France

2018 – 2021

Bachelor's in Economics and Management

Economics

Hassan II University, Casablanca, Morocco

Technical skills

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

Selected projects

  • Daily Index of Canadian Business Conditions Mixed-frequency dynamic factor model estimated by maximum likelihood with an exact Kalman filter on four components, 1997 to 2026, 10,804 daily values, 318 unit tests and a replication package validated by 26 automated checks.
  • Fiscal Risk Provisioning Value-at-Risk on budget forecast errors to calibrate a government's budgetary risk provisions.
  • Chinese Financial Flows and Economic Growth Impact of Chinese financing on growth in 147 countries (2000–2021), using IV and dynamic panel methods.
  • Geospatial Analysis of Conflict Data Python tools to map high-intensity conflict zones and track their spatio-temporal evolution.
  • Macroeconomic Time Series Forecasting ARIMA models in R to forecast the dynamics of key macroeconomic indicators.

All projects

Certifications, awards & languages

Certifications

  • Unlocking Investment and Finance in Emerging Markets and Developing Economies (EMDEs), edX
  • Project Monitoring and Evaluation, AFD, 2024
  • Data Scientist with R, DataCamp, 2023
  • Data Analysis with R
  • Getting Started with Power BI
  • Project Management

Awards & scholarships

  • Erasmus International Mobility Grant, 2023
  • Merit Scholarship IDGT SFRI CAP 20-25, 2023–2024
  • ANAB Master's Scholarship, Nigerien Agency for Scholarships and Grants, 2022–2024

Languages

  • French: Native
  • Hausa: Native
  • English: Fluent

Interpersonal

  • Communication
  • Adaptability
  • Teamwork
  • Creative problem solving
  • Organizational leadership

Activities & leadership

  • President, Graduate Students' Association in Economics (AECSE), UQAM Sept. 2025 – Present Lead the executive committee in organizing academic events, networking sessions, and workshops; manage association budgets and funding requests.
  • Student Representative, Economics Program Committee, UQAM 2024 –
  • President, 10th Scientific, Sports, and Cultural Week 2021
  • Member of university basketball, football, and chess clubs

References

Dr. Virginie Comblon Researcher, Orange Innovation Research Lab virginie.comblon@orange.com
Prof. Simone Bertoli Professor of Economics, CERDI, University of Clermont Auvergne & Research Fellow at IZA simone.bertoli@uca.fr
Prof. Vianney Dequiedt Professor of Economics, CERDI, University of Clermont Auvergne vianney.dequiedt@uca.fr