Ricardo Mateus

Analytics consultant and researcher with a passion for data-driven decision-making using:
- descriptive analytics, such as business intelligence, data mining, problem structuring, system analysis, performance measurement, behavioral sciences, or nudging;
-predictive analytics, such as statistics, machine learning, data science, artificial intelligence, simulation, system dynamics, decision trees, forecasting, prediction, regression, and risk analysis;
- prescriptive analytics, such as optimization and planning, multicriteria analysis and evaluation, portfolio optimization and resource allocation, negotiation analysis, project management, game theory, scheduling, pricing, meta-heuristics, and constraint programming.

Broad area of applications and industries, particularly procurement & purchasing, supply chain & logistics, sustainability & ecosystem services, energy, health, defense, and government.

Specialties: Analytics, Operations Research, Decision theory, Data Science