Data

Science

We help you in the development of customized solutions through data mining techniques and machine learning both supervised and unsupervised. In order to create a customized solution to the need of your company with enough robustness and following the principle of parsimony.

Some of the solution approaches we have worked on in different sectors are: 

  • Customer Relationship Management

  • Churn

  • Scoring

  • MarkDown

  • Forecast

  • Anomaly Detection

  • Geostatistics

  • Text Mining

  • Structual Equation Models

We work with the most basic algorithms up to the most complex ones, highlighting some of them as:

  • Linear Regression

  • Logistic Regression

  • PCA

  • Discriminant Analysis

  • Generalized Linear Models (Poisson, Gamma, Binomial, Tweedie)

  • Survival Models (Cox regression)

  • Association Models (A priori, Carma, sequence, association rules)

  • Regression and Classification Trees (CRT, C5, CHAID, QUEST)

  • Segmentation Models (K medias, Two-Step, Kohonen, anomaly)

  • Forecast Models or Times Series (exponential smoothing, ARIMA, ...)

  • KNN

  • Neural Networks

  • Vectorial Support Machines

  • Bayesian Network

  • Random Forest

  • XGBoost

  • Isolation Forest