Economist and Data Scientist
Abdoul Wahid Massaoudou Namata
I turn messy administrative data into evidence policy-makers can act on — building reproducible pipelines, forecasting models, and causal evaluations across Africa, Europe, and North America.
- 7Countries
- 10Projects
- 6Working papers
- 3Degrees
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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 (ESG UQAM), and Orange Innovation.
Most of my work starts where the data is least usable. I design and maintain structured, reproducible pipelines that clean, reconcile, and consolidate heterogeneous — and often incomplete — administrative microdata: business registries, tax records, survey micro-data. That means record linkage and fuzzy matching across systems with no common identifier, deduplication, missing-value imputation, and the data-quality controls that make the result defensible.
Alongside that, I work on macroeconomic forecasting — Bayesian VAR/SVAR models, Taylor rules, conditional forecasts — and on causal inference for policy evaluation. More recently I have been applying transformer models and generative LLMs to large text corpora, building sentiment indicators from tens of thousands of news articles.
I hold an MSc in Economics (quantitative) from ESG UQAM in Montreal, 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 (AECSE) at UQAM, where I organise academic events and manage the association’s budget.
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Selected work
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Experience
Mar. 2026 – Present
Research Consultant (Data Science)
Development Impact (DIME), World Bank Group
Reproducible Python pipelines on administrative microdata (business registry, tax records); record linkage and fuzzy matching; automated PDF extraction; labour market diagnostics for Liberia and The Gambia.
Jan. 2026 – Present
Research Assistant
Chair in Macroeconomics and Forecasting (CMP), ESG UQAM
Real-time macroeconomic database (Bank of Canada); Taylor-rule estimation and Bayesian SVAR identified via sign restrictions; sentiment indicators from 50,000+ news articles.
Nov. 2025 – Jun. 2026
Graduate Research Assistant — Quantitative Modeling
CIRANO, Montreal
Structured database of public budget line items; Value-at-Risk on forecast errors to calibrate fiscal-risk provisions; supporting data pipeline in Python.
Mar. 2024 – Aug. 2024
Data Analyst & Research Assistant
Orange Innovation, Paris
OCR pipeline cutting manual processing time by over 80%; large-scale administrative databases; impact-evaluation design (RCT, DiD, IV, RDD).
May 2023 – Jul. 2023
Statistician & Research Assistant
LASAARE, Casablanca
Socio-economic determinants of urban water consumption; survey micro-data harmonisation; logit/probit estimation.
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Areas of expertise
Data Engineering
- Record linkage & fuzzy matching
- Deduplication & missing-data imputation
- Data-quality control
- Reproducible, version-controlled ETL (Git)
- PDF & web scraping (pdfplumber), OCR
- REST APIs · SQL
Econometrics & Forecasting
- Bayesian VAR / SVAR, sign restrictions
- Taylor rules (GMM / IV)
- Conditional forecasting, ARIMA
- Value-at-Risk
- DiD · IV · RDD · RCT
- Logit / probit, panel data
Machine Learning & NLP
- Transformer models (BERT / FinBERT)
- Generative LLMs, semantic similarity
- XGBoost, random forests
- LASSO / Ridge / Elastic Net
- Clustering (k-means, DBSCAN), PCA
- Python · R · MATLAB · Power BI
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Global reach
Countries I have worked on or from. Click a marker for details.
- 🇨🇦 Canada
- 🇱🇷 Liberia
- 🇬🇲 The Gambia
- 🇫🇷 France
- 🇲🇦 Morocco
- 🇳🇦 Namibia
- 🇳🇪 Niger
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Get in touch
Open to research collaborations and consulting work in applied economics and data science.