Experienced consultant and researcher with a passion for data-driven decision-making using descriptive (business intelligence and data mining), predictive (forecasting and scenario planning) and prescriptive (optimization and simulation) analytics. Educational background in Management, Engineering and Operations Research, which underpin a sound quantitative-oriented expertise coupled with hands on soft skills for communicating effectively with teams, customers and stakeholders. Extensive experience on problem structuring and solving involving various business analytics tools (AIMMS, R, GAMS, MACBETH, CPLEX, etc.) and system analysis/engineering methods (statistics, mathematical programming, decision analysis, project management, simulation, forecasting, data mining, etc.). Strong knowledge and experience on information systems: programming (C++, Java, Visual Basic); web (ASP; PHP); and databases (Ms SQL Server, Access, MySQL).