Statistical rigor meets policy relevance

Data analytics and AI solutions designed for real-world public policy impact.

Data analytics and AI solutions designed for real-world public policy impact

I deliver comprehensive data science and AI solutions for governments and international organizations, spanning economic modeling, statistical analysis, predictive analytics and data visualization. Combining econometric analysis, machine learning and AI, I transform complex data into actionable insights for public policy design, impact evaluation and strategic decision-making.

Like many economists, Giles has a clear aptitude for using data. Yet what I felt set Giles apart, was his ability to not only leverage it for meaningful policy analysis, but to communicate this in way that was understandable to a non-technical audience.

Lauren

Senior Policy Advisor

What set Giles apart is his unique ability to synthesise complex (and messy) economic data with real-world policy implications.”

Vanessa

Editor of Debates (Hansard)

Giles was professional, knowledgeable and affable. His expertise in data science, data analysis and interpretation helped me in examining gender implications and initiatives across the whole Solomon Islands budget. Giles excelled in supporting me to frame the analysis to communicate these insights to parliamentarians

Oliver

Associate

“I have to say that I did not believe I could start using R in a matter of weeks, but thanks to Giles’ training, I have done so! I

Heini

Economist

Case studies

From insight to impact: stories of my expertise in action.

Strengthening Crisis Monitoring Through Mapping Data Gaps

A UNDP office in South-East Europe faced fragmented and inconsistent data sources across critical indicators needed for crisis monitoring. Existing datasets were incomplete, lacked standardization, and created analytical gaps in the UNDP’s monitoring of economic, social and political risks. This data fragmentation made it impossible to establish reliable baselines, conduct meaningful regional comparisons, or support real-time crisis…

Transforming Policy Analysis Capabilities Through R Programming Training

Policy professionals struggled with outdated analytical tools that limited their effectiveness in data-driven decision making. Traditional training failed to bridge the gap between basic programming concepts and real-world policy analysis applications. As a result, many public policy professionals remain locked into using expensive and outdated proprietary software ill-equipped for analysing the types of datasets seen in real-world policy analysis…

Strengthening Climate-Responsive Public Financial Management Systems

UNDP Bangkok needed expert validation of their Climate Change Budget Integration Index (CCBII+), a tool measuring how effectively countries integrate climate considerations into Public Financial Management systems. The existing grading methodology showed weaknesses in measuring gender equality and social inclusion aspects of climate initiatives. Finance ministries struggled to objectively..

Crisis Risk Monitoring with AI-Powered Risk Analytics

The UNDP regional office required a comprehensive system for monitoring and assessing complex political, economic and social risks across multiple dimensions. Existing data sources were fragmented, inconsistent, and lacked standardization across indicators needed for evidence-based crisis monitoring. Critical gaps existed in economic modeling capabilities, particularly for early warning indicators…

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Data Analytics and AI