Alejandro Labarca is an applied mathematician and statistician with eight years of experience applying text mining and Big Data techniques to inform development policy and decision-making. As an Associated Statistician at UNDP Venezuela’s Human Development Center since 2018, he supports Agenda 2030 implementation by turning complex datasets into actionable insights. His background includes leading credit risk modeling and automation at Banco Nacional de Crédito, where he designed rating tools and policies to quantify expected and unexpected losses. Trained with an MSc in Random Models and a Licentiate in Mathematics from Universidad Central de Venezuela, he blends rigorous academic foundations with practical R&D and automation skills. Known for a taste for research and continuous innovation, he brings a measured mix of technical depth and policy-oriented impact to data-driven development challenges.
8 years of coding experience
Msc. en Modelos Aleatorios, 19, Msc. en Modelos Aleatorios, 19 at Universidad Central de Venezuela
Contributions:20 commits, 19 pushes, 1 branch in 6 months
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