I decode complex financial systems, build AI-powered products, and turn data into strategy — for markets, institutions, and the future of economic decision-making.
I'm a financial economist with deep roots in economic modelling, market analysis, and policy research — and an equally deep passion for the transformative potential of artificial intelligence.
As a product manager, I bridge the gap between rigorous analysis and real-world execution — translating complex models into products that users and institutions actually use and trust.
I've worked across entrepreneurship support organizations, research institutions, fintech startups, and advisory roles, always asking: how can intelligence — artificial or human — help us make better economic decisions?
Download CV →A rare blend of quantitative rigour, machine intelligence, and strategic product thinking.
Macro & micro modelling, monetary policy analysis, market design, and empirical research methods.
Machine learning for financial forecasting, NLP for economic text data, LLM integration and agent design.
End-to-end product lifecycle, roadmapping, user research, and cross-functional team leadership in data-driven environments.
From raw financial datasets to compelling insights — SQL, Python pipelines, dashboards, and statistical inference.
A journey through research, technology, and strategy.
Leading the development of AI-powered financial analytics products. Defined product strategy, managed cross-functional teams of engineers and economists, and shipped ML forecasting tools used by institutional clients.
Conducted empirical research on monetary policy, authored policy papers, and built econometric models informing national economic decisions. Collaborated with central banks and international institutions.
Built quantitative models for portfolio risk management and return forecasting. Applied ML techniques to high-frequency financial data and developed internal analytics dashboards for trading desks.
Pursued postgraduate research in development economics and behavioural finance. Thesis on AI-assisted economic forecasting in emerging markets.
Work at the intersection of data, AI, and economic insight.
An LSTM-based macroeconomic forecasting tool trained on 40 years of cross-country data, providing real-time GDP, inflation, and unemployment projections.
Led end-to-end product development of a B2B analytics platform that surfaces AI-driven credit risk signals for emerging market lenders.
Co-authored a composite index measuring AI adoption capacity across 28 African nations, published and cited by AU Commission reports.
Fine-tuned a transformer model on central bank communications to extract forward guidance signals and correlate with bond market movements.
Designed and shipped a RAG-powered research assistant that helps economists query large datasets and academic literature in natural language.
Developed a 3-year AI adoption roadmap for a national central bank, covering data infrastructure, use cases, governance, and talent strategy.
I work with organisations, governments, and startups that need rigorous economic thinking fused with AI capability.
Defining how institutions integrate AI into their operations, products, and decision-making — from proof-of-concept to production.
Bespoke econometric models, scenario analysis, and forecasting systems for financial institutions and policy bodies.
End-to-end design and delivery of data-intensive products — from architecture to user experience, with embedded economic logic.
Policy analysis, white papers, and advisory support for governments, NGOs, and multilateral institutions on economics and AI governance.
Whether you're a startup building a financial AI product, or an institution navigating economic uncertainty — I bring both the analytical depth and the product craft to move fast and think clearly.
Start a Conversation →Essays, papers, and notes on economics, AI, and the future of decision-making.
Exploring how LLMs are reshaping economic communication, forward guidance, and the next generation of monetary policy analysis.
Why the economic gains from AI adoption are unevenly distributed — and what that means for development policy in Africa and Asia.
A practitioner's guide to bridging the credibility gap between machine learning outputs and economic expertise in product design.
Open to consulting engagements, speaking invitations, research collaborations, and interesting conversations.
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