Data-science
We extract value, predict and learn from large volumes of data.
From the availability of large volumes of data it is possible to generate rigorous tools that allow prediction and statistical understanding of key processes in organizations.
We are capable of developing advanced predictive models on complex processes and variables.
We apply tools related to statistical inference, modeling through Machine Learning and other advanced statistical learning tools.
Do you need to unravel complex data or face challenging problems in data science?
From the design of predictive models to the analysis of large data sets, we can provide you with effective solutions.
Which is our approach?
01. Domain Understanding
We believe it is critical to understand and model in terms of the physics and processes underlying the data.
We generate ad-hoc tools and models, specifically tailored to the context of each problem, the quality and volume of data available and, above all, thinking about what kind of decisions we want to make from the statistical models.
02. Preprocessing and modeling
Depending on the problem addressed and the client's requirements, we create the data ingestion and preprocessing procedures, as well as the interfaces and dashboards required for the analysis of the results.
03. Usability and interfaces
We develop the necessary software so that the decision making tools have high levels of usability and can be useful in the daily decision making processes.
Software we work with
