GILDAS DEUDIBE

Economist Consultant at The World Bank Group

Salaire / Taux journalier

Paris, France

Mobilité : Paris

Freelance, ouvert au CDI

Peut venir sur site

Expertises

GitHubPower BINLP / Natural Language ProcessingScrapingData EngineeringLLMs / Large language modelsData AnalysisData VizualizationBig DataDeep LearningIAData MiningBase de données SQLRequêtes SQLData ScienceMachine LearningGitdbtGitLabTableau

À propos

Introduction

Data Scientist and Economist with over 6 years of experience leveraging research and data analysis to inform policy, guide strategic decision-making, and engage high-stakes stakeholders. My expertise includes statistical programming, geospatial analytics, and policy-focused research, with a strong emphasis on predictive modeling, poverty measurement, and finance. I am passionate about using data to tackle real-world challenges and deliver actionable insights. Comfortable working in both large organizations and agile environments, I have experience operating in fragile and remote contexts. In addition to my research career, I am an entrepreneur committed to education as a driver of change. I founded a primary and secondary school in Chad to expand access to quality education where it is most needed. I combine analytical and technical proficiency with strong communication and interpersonal skills, enabling me to translate complex findings into practical solutions.

Liens

Expérience de travail

Teaching Assistantship

University of Paris I: Panthéon-Sorbonne

sept. 2025 - Présent

1 an 2 mois

Paris, France

Consultant

The World Bank Group

déc. 2017 - Présent

8 ans 11 mois

Washington, District de Columbia, États-Unis

Data Scientist

Abbelight

juin 2023 - déc. 2023

7 mois

Paris, France

- Developed machine learning approaches for cancer diagnosis using high resolution images. - Improved data acquisition pipeline from lab experiment to videos,, images up to structured data.

Data Scientist

Safran

déc. 2022 - juil. 2023

8 mois

Paris, France

- Estimated the remaining useful life of turbofan engines using sensor data (NASA C-MAPSS dataset). - Improved code quality by identifying and eliminating potential vulnerabilities and anomalies. - Developed automated reports to monitor code performance and quality.

Teaching Assiatant

CERDI

janv. 2020 - déc. 2020

1 an

Clermont-Ferrand, France

Econometrics, Statistics, Macroeconomics

Junior Consultant/Field coordinator

Duke University

sept. 2017 - déc. 2017

4 mois

Uster, Suisse


Formation

ENSAI

Master of Science - MS, Smart Data Science

2022 - 2023

2 ans

Institut Sous régional de la Statistique et de l'Economie Appliquée (ISSEA)

Master of Science - MS, Statistics and applied economics

2014 - 2016

3 ans

Intensive training in : Applied mathematics, Theoretical and Applied Statistical Modeling, Economics, Applied Econometrics and Survey Design

Ecole Nationale de la Statistique et de l’Economie Appliquée

Bachelor of Science - BS, Statistics

2012 - 2014

3 ans

Universite de N'Djamena

Bachelor's degree, Mathematics

2009 - 2012

4 ans

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