Home

DATA MINING

• Acquisition of data (oceanographic, point-cloud, aerial & areal data, geophysical & geological, meteorological)
• Web scraping techniques
• Cloud based platforms (eg AWS)

DATA CLEANING

Making data reliable and ready to efficiently be used in applications or further processes via in-house proprietary tools.

DESCRIPTIVE STATISTICS

• Provision of first pieces of information to understand and represent a data set
• Production of numerical and categorical information.
• Provision of summaries via numerical measures, summary tables, graphics and charts.

PREDICTIVE ANALYTICS

• Provision of Machine Learning (ML) & Neural Network (NN) techniques
• ML: regressions, decision trees, support vector machines, ensemble methods
• NN: Deep learning, functions & back-propagation processes and re-inforced learning.

PRESCRIPTIVE ANALYTICS

• Focus on the development of an action plan and helps make decisions based on inputs from descriptive and predictive analytics
• Simulations, Sensitivity & Scenario Analysis