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Hello, I'm
KONAN Amani Dieudonné
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Global 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. Currently completing a Doctor of Business Administration (DBA) in Artificial Intelligence focused on AI adoption in international development.
Who I Am
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. What ties this work together is range: I move comfortably from rigorous statistical and econometric analysis to data engineering, machine learning, and the full-stack applications that put those models into people's hands. I am currently completing a Doctor of Business Administration (DBA) in Artificial Intelligence at the IIBM Institute of Business Management, where my thesis, Renting Intelligence, examines how AI sourcing choices shape institutional performance in international development. I'm driven by a conviction that data and intelligence are among the most powerful levers for economic transformation and institutional excellence.
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Years Experience
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Organizations
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Publications
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Projects Delivered
Trusted by Leading Organizations
Over 13 years of impact across international institutions, UN agencies, and global organizations.
Core Institutions
United Nations & International Research
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.
Areas of Expertise
Statistics & Econometrics
Statistical inference, econometric modeling (ARIMA, VAR, VECM), causal analysis, survey design, impact evaluation, and time series forecasting for policy and research.
Data Science & Analytics
Advanced analytics, predictive modeling, feature engineering, and data-driven decision support for complex organizational challenges across finance, trade, and development.
AI & Machine Learning
End-to-end ML pipelines, deep learning, LLMs, RAG systems, NLP, AI agents, multi-model platforms, and production-grade AI system deployment with MLOps.
Data Engineering & Architecture
Lakehouse architectures (Databricks/Delta Lake), ETL/ELT pipelines, CDC streaming, data governance (DAMA-DMBOK), and enterprise data platform design on AWS and cloud.
Full-Stack Development
Modern web applications with Next.js, React, TypeScript, Node.js, Python Flask, PostgreSQL, Prisma ORM, REST APIs, authentication, and cloud deployment.
Strategy & Leadership
Data strategy roadmaps, AI adoption advisory, digital transformation, organizational capacity building, and executive-level data-driven decision support.
Technology Stack
A comprehensive toolkit spanning the full data-to-intelligence pipeline and modern software development.
AI & Machine Learning
PythonPyTorchTensorFlowLangChainLLMsRAGNLPComputer VisionMLOpsGenerative AI
Data Engineering
DatabricksApache SparkDelta LakeSQLPostgreSQLOracleETL/ELTCDC StreamingPower BITableau
Statistics & Econometrics
RStataSASSPSSEconometricsTime SeriesCausal InferenceSurvey DesignPanel DataARIMA/VAR
Cloud & DevOps
AzureAWSDockerKubernetesCI/CDDevOpsREST APIsGraphQLGitTerraform
Full-Stack Development
Next.jsReactTypeScriptNode.jsPython FlaskPrismaTailwind CSSPostgreSQLMongoDBRedis
Career Highlights
Manager, Data Scientist / Architect
African Export-Import Bank (Afreximbank)
Cairo, EgyptSep 2023 – Present
- Designed and implemented end-to-end medallion architecture (Bronze/Silver/Gold) on Databricks with Delta Lake and Unity Catalog, establishing the enterprise data lakehouse foundation for all analytical and operational workloads
- Architected Master Data Management (MDM) solutions consolidating party data across four enterprise systems (CRM, Core Banking, Treasury Management, ERP), creating unified golden records for institutional counterparties
Data Engineer
International Telecommunication Union (ITU)
RemoteDec 2024 – May 2025
- Designed and implemented an automated ETL pipeline on Databricks to process heterogeneous infrastructure datasets from six countries (.csv, .xlsx, .gpkg, .tiff), enabling scalable multi-format data ingestion
- Developed a dynamic Data Quality (DQ) framework with rule-based checks (completeness, consistency, geographic integrity) and generated dual-format reports (.csv/.xlsx) with diagnostics and remediation guidance
Statistician & Econometrician
International Cocoa Organization (ICCO)
Abidjan, Côte d'IvoireApr 2017 – Sep 2023
- Designed and maintained a tailored statistical database application serving as the organization's central data architecture for cocoa market intelligence, streamlining reporting workflows and ensuring data consistency across member countries
- Built forecasting models (ARIMA, VAR, VECM) to project global supply, demand, and pricing trends in the cocoa economy, directly informing strategic decisions for ICCO member countries and global stakeholders
Researcher (Data Scientist / Statistician)
United Nations Institute for Disarmament Research (UNIDIR)
RemoteMay 2023 – Aug 2023
- Designed multi-country survey data architectures (Nigeria, Colombia, Iraq, Lake Chad Basin) for the MEAC disarmament and reintegration research project, managing end-to-end data pipelines
- Programmed and managed digital data collection via SurveyCTO with automated real-time quality control and validation rules; liaised with field teams on data consistency
Featured Publications
Macroeconomics2026
Global Futures Markets & the Middle East Escalation: Comprehensive Futures Intelligence Across Six Commodities — From the Iran-Israel War to the Hormuz Closure (Dec 2024 – Mar 2026)
Amani Konan
This 40-slide intelligence report analyses the price dynamics of six global commodity futures markets — crude oil, gold, cocoa, coffee, cotton, and sugar — across a 15-month window spanning six months of pre-conflict baseline through the full Iran-Israel escalation era, culminating in the February 28, 2026 Hormuz closure. The study documents a +50% WTI rally, a record $5,595/oz gold price, and a −70% cocoa correction occurring simultaneously, revealing that geopolitical risk does not transmit uniformly across asset classes. Energy markets absorbed a direct structural shock; gold's bull cycle is driven primarily by central bank de-dollarisation (1,000+ tonnes/year) rather than conflict sentiment; and soft commodities — cocoa, cotton, sugar, coffee — followed supply-side fundamentals entirely independent of Middle East developments. A synthesis section examines Africa's asymmetric double bind: oil-importing nations absorbing rising energy costs while key export commodity revenues remain structurally bearish. The report concludes with a geopolitical risk transmission matrix, a comparative six-commodity dashboard, trade finance implications, and differentiated investment positioning across eight asset classes. Data sources: Bloomberg · Reuters · EIA · ICE · CME · StoneX · World Bank · JP Morgan · Goldman Sachs
Download PDFMacroeconomics2026
Global Futures Markets and the Middle East Escalation: Comprehensive Futures Intelligence Across Six Commodities, from the Iran-Israel War to the Hormuz Closure (December 2024 to June 2026)
Amani Konan
This analytical report delivers comprehensive futures intelligence across six globally traded commodities (crude oil, gold, cocoa, coffee, cotton and sugar) over the period December 2024 to June 2026. It traces the full arc of the Middle East escalation, from the Iran-Israel war and the first modern closure of the Strait of Hormuz to the June 2026 de-escalation and reopening. The central finding is that the war risk premium round-tripped. Brent crude crossed $100 for the first time before retreating below $70, while gold reached a $5,595 record then corrected toward $4,000 under a hawkish Federal Reserve and a stronger dollar rather than geopolitics. The report documents how the soft commodities decoupled from the conflict and recoupled to a confirmed El Nino, and it revises the earlier cotton call, which had underestimated the oil-to-synthetic substitution channel. A dedicated synthesis examines the implications for Africa, where the macroeconomic squeeze rotated from energy toward currency and weather pressures, with direct relevance for trade finance, central banks and commodity-dependent sovereigns. Across 49 slides, it offers a transferable framework for pricing geopolitical risk in commodity markets.
Download PDFAI & Technology2025
Africa's AI Leap: Finance & Sovereignty
KONAN Amani Dieudonné
An analysis of how artificial intelligence is transforming Africa's financial sector and questions of data sovereignty.
Download PDFProjects
Selected projects and achievements
Data Engineering
Enterprise Lakehouse Architecture
Designed and implemented a modern data lakehouse on Azure Databricks for unified batch and real-time analytics. Handles 500M+ banking transactions wit...
AzureDatabricksSparkDelta Lake
Data Engineering
Banking ETL Pipeline
High-performance ETL system processing 500M+ transactions daily with 99.9% SLA compliance. Includes real-time monitoring, error handling, and automate...
PythonApache AirflowPostgreSQLAzure
Data Governance
Master Data Management Solution
Enterprise MDM platform ensuring data consistency and quality across 50+ countries. Implemented data governance frameworks, deduplication algorithms, ...
PythonSQLAzurePower BI
Services
Expert professional services tailored to your needs
Statistical & Econometric Analysis
Rigorous statistical analysis, econometric modeling, survey design, causal inference, and impact evaluation for research and policy.
AI & Data Strategy
Strategic advisory on AI adoption, data strategy, and digital transformation for enterprises and international organizations.
Data Architecture
Design and implementation of modern data platforms, lakehouse architectures, and enterprise data management solutions.
MLOps & AI Engineering
End-to-end ML pipeline development, model deployment, monitoring, and optimization at scale.
Full-Stack Web Development
Custom web applications, dashboards, and platforms built with modern technologies — Next.js, React, TypeScript, Python, PostgreSQL, and cloud deployment.
Training & Workshops
Customized training programs in data science, machine learning, and AI for teams and organizations.
Global Reach
Professional experience spanning multiple continents and diverse international contexts.
Europe
FranceSwitzerlandUnited Kingdom
Africa
Côte d'IvoireEgyptKenyaCameroonSenegalNigeria
Middle East
United Arab Emirates
Remote / Global
USAIndiaCanada
Education & Certifications
World-class credentials from leading institutions powering deep expertise.
Academic Credentials
Massachusetts Institute of Technology (MIT)
Professional Certificate in Data Engineering, AI & Data Science
2025-USA (Online)
Massachusetts Institute of Technology (MIT)
Applied AI and Data Science Program
2025-USA (Online)
Massachusetts Institute of Technology (MIT)
MicroMasters in Data, Economics & Development Policy
2021-USA (Online)
Université Toulouse I Capitole
Master's in Statistics & Econometrics
2017-Toulouse, France
Johns Hopkins University
Data Science Specialization Certificate
2015-USA (Online)
ENSEA (École Nationale Supérieure de Statistique et d'Économie Appliquée)
Ingénieur Statisticien (Statistics & Information System Engineer)
2012-Abidjan, Côte d'Ivoire
ENSEA (École Nationale Supérieure de Statistique et d'Économie Appliquée)
Bachelor in Statistics & Information Systems
2009-Abidjan, Côte d'Ivoire
Professional Certifications
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
Impact & Achievements
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Client Testimonials
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