Loading...
Loading...

Hello, I'm
Full-Stack Senior Statistician, Data Scientist, Machine Learning & AI Professional with 13+ years of experience across the United Nations system, international development finance, and global organizations. MIT-certified in Data Engineering and AI, with advanced degrees in Statistics & Econometrics. Expert in the full data-to-intelligence pipeline: from statistical modeling and data engineering to AI/ML systems, full-stack development, and strategic advisory.
With a Master's in Statistics & Econometrics from Université Toulouse I Capitole (France) and professional certificates from MIT, I bring 13+ years of expertise across 11 organizations in 6+ countries. My career spans the United Nations system (ITU, IOM, UNHCR, UNIDIR), the International Cocoa Organization, and the African Export-Import Bank — where I've built enterprise AI systems, led econometric analysis of global commodity markets, and designed data architectures at institutional scale. Today, I operate as a full-stack professional spanning the entire data-to-intelligence continuum: from rigorous statistical and econometric analysis, through data engineering and architecture, to machine learning, AI systems, and full-stack web application development. I am driven by a conviction that data and intelligence are the most powerful levers for economic transformation and institutional excellence.
Over 13 years of impact across international institutions, UN agencies, and global organizations.
Advisory and research engagements with leading United Nations agencies and international research institutes, including ITU, IOM, UNHCR, UNIDIR, ICRISAT. These missions spanned data analysis, statistical modeling, policy research, and technology solution development for global challenges — from telecommunications security and migration flows to disarmament research and sustainable food systems.
Statistical inference, econometric modeling (ARIMA, VAR, VECM), causal analysis, survey design, impact evaluation, and time series forecasting for policy and research.
Advanced analytics, predictive modeling, feature engineering, and data-driven decision support for complex organizational challenges across finance, trade, and development.
End-to-end ML pipelines, deep learning, LLMs, RAG systems, NLP, AI agents, multi-model platforms, and production-grade AI system deployment with MLOps.
Lakehouse architectures (Databricks/Delta Lake), ETL/ELT pipelines, CDC streaming, data governance (DAMA-DMBOK), and enterprise data platform design on AWS and cloud.
Modern web applications with Next.js, React, TypeScript, Node.js, Python Flask, PostgreSQL, Prisma ORM, REST APIs, authentication, and cloud deployment.
Data strategy roadmaps, AI adoption advisory, digital transformation, organizational capacity building, and executive-level data-driven decision support.
A comprehensive toolkit spanning the full data-to-intelligence pipeline and modern software development.
African Export-Import Bank (Afreximbank)
International Telecommunication Union (ITU)
International Cocoa Organization (ICCO)
United Nations Institute for Disarmament Research (UNIDIR)
KONAN Amani Dieudonné
A comprehensive analytical report examining Africa's economic trajectory and the $10 trillion opportunity across regional dynamics from 2010 to 2025. The report analyzes growth patterns, trade flows, investment opportunities, and structural transformation across African sub-regions.
Download PDFKONAN Amani Dieudonné
An analysis of trade finance infrastructure development across Africa, examining the growth of trade finance facilities, the role of development finance institutions, and the impact on intra-African trade and economic integration.
Download PDFKONAN Amani Dieudonné
An analysis of how artificial intelligence is transforming Africa's financial sector and questions of data sovereignty. The report examines AI adoption in banking, insurance, and fintech, along with governance frameworks for responsible AI deployment.
Download PDFSelected projects and achievements
Generative AI-powered knowledge management assistant for Afreximbank. Built with LangChain, Azure OpenAI, and RAG architecture to enable intelligent d...
Designed and implemented a modern data lakehouse on Azure Databricks for unified batch and real-time analytics. Handles 500M+ banking transactions wit...
High-performance ETL system processing 500M+ transactions daily with 99.9% SLA compliance. Includes real-time monitoring, error handling, and automate...
Enterprise MDM platform ensuring data consistency and quality across 50+ countries. Implemented data governance frameworks, deduplication algorithms, ...
Expert professional services tailored to your needs
Rigorous statistical analysis, econometric modeling, survey design, causal inference, and impact evaluation for research and policy.
Strategic advisory on AI adoption, data strategy, and digital transformation for enterprises and international organizations.
Design and implementation of modern data platforms, lakehouse architectures, and enterprise data management solutions.
End-to-end ML pipeline development, model deployment, monitoring, and optimization at scale.
Custom web applications, dashboards, and platforms built with modern technologies — Next.js, React, TypeScript, Python, PostgreSQL, and cloud deployment.
Customized training programs in data science, machine learning, and AI for teams and organizations.
Professional experience spanning multiple continents and diverse international contexts.
World-class credentials from leading institutions powering deep expertise.
Massachusetts Institute of Technology (MIT)
Professional Certificate in Data Engineering, AI & Data Science
Massachusetts Institute of Technology (MIT)
Applied AI and Data Science Program
Massachusetts Institute of Technology (MIT)
MicroMasters in Data, Economics & Development Policy
Université Toulouse I Capitole
Master's in Statistics & Econometrics
Johns Hopkins University
Data Science Specialization Certificate
ENSEA (École Nationale Supérieure de Statistique et d'Économie Appliquée)
Ingénieur Statisticien (Statistics & Information System Engineer)
ENSEA (École Nationale Supérieure de Statistique et d'Économie Appliquée)
Bachelor in Statistics & Information Systems
MIT
Professional Certificate in Data Engineering, AI & Data Science
2025
MIT
Applied AI and Data Science Program
2025
MIT
MicroMasters in Data, Economics & Development Policy
2021
Corporate Finance Institute
Financial Modelling & Valuation Analyst (FMVA)
2020
Johns Hopkins University
Data Science Specialization
2015
What leaders I've worked with have to say
“Amani delivered an enterprise-grade AI analytics platform that transformed how we process trade data across Africa. His unique blend of statistical expertise and engineering skill is rare.”
Senior Director
International Development Finance Institution
“The econometric models and predictive analytics he built for our commodity market analysis continue to be used years later. Truly best-in-class statistical work.”
Head of Research
International Commodity Organization
“From data strategy to full-stack implementation, Amani's holistic approach to digital transformation is exactly what our research unit needed. Exceptional professionalism.”
Programme Manager
United Nations Agency