Problem Solver
Ricardo Mateus 
Proven Solver
Areas Ricardo Mateus is Knowledgeable in:
Analytics, Artificial Intelligence, Data Mining, Optimization, Operations Research, Decision Theory/Science, Multicriteria Decision Analysis, Statistics, Programming, Quantitative analysis, Public Procurement, Sport Analytics, Forest Management
Techniques Ricardo Mateus Uses:
Specific Analytic Skills:
- 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
Analytical tools:
- programming (C++, Python, FORTRAN, VB, VBA)
- web (HTML, JavaScript, Node.js, ASP, PHP)
- databases (MongoDB, SQL Server, Access, MySQL, QGIS)
- optimization (OpenSolver, AIMMS, GAMS, CPLEX, IBM OPL, SolverStudio, MiniZinc)
- statistics and data science (R, Python, WEKA, Azure, SAS, SPSS)
- multicriteria evaluation (M-MACBETH, Hiview, VISA, Equity)
- simulation (Anylogic, InsightMaker, Vensim, STELLA, Risk)
- other (Basecamp, OneNote, Git, etc.)
- 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
Analytical tools:
- programming (C++, Python, FORTRAN, VB, VBA)
- web (HTML, JavaScript, Node.js, ASP, PHP)
- databases (MongoDB, SQL Server, Access, MySQL, QGIS)
- optimization (OpenSolver, AIMMS, GAMS, CPLEX, IBM OPL, SolverStudio, MiniZinc)
- statistics and data science (R, Python, WEKA, Azure, SAS, SPSS)
- multicriteria evaluation (M-MACBETH, Hiview, VISA, Equity)
- simulation (Anylogic, InsightMaker, Vensim, STELLA, Risk)
- other (Basecamp, OneNote, Git, etc.)
Ricardo Mateus's Problem Solving Skills:
- Multicriteria Decision Analysis
- Public Procurement
- Forest Management
- Programming (Python, Javascript, C++, Delphi, Fortran, Visual Basic)
- Artificial Intelligence
- Statistics
- Optimization
- Data Mining
- Mathematical Programming (Linear, Integer, Mixed, Non-Linear)
- Sport Analytics
- Analytics
- Decision Science/Theory
- Operations Research
- Quantitative analysis
Ricardo Mateus's Problem Solving Experience:
- Idea Connection Challenge Winner