Data Analytics and AI
Data Analytics and AI
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.
Case studies
From insight to impact: stories of my expertise in action.
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…
Policy professionals struggled with outdated analytical tools that limited their effectiveness in data-driven decision making.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 As a result, many public policy professionals remain locked into using expensive and outdated proprietary software ill-equipped for analysing the types of datasets seen in real-world policy analysis…
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..
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…
Work with me
Explore how I can help you tackle your most pressing public policy and analytical challenges.