
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:
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Customer Relationship Management
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Churn
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Scoring
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MarkDown
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Forecast
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Anomaly Detection
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Geostatistics
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Text Mining
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Structual Equation Models
We work with the most basic algorithms up to the most complex ones, highlighting some of them as:
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Linear Regression
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Logistic Regression
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PCA
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Discriminant Analysis
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Generalized Linear Models (Poisson, Gamma, Binomial, Tweedie)
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Survival Models (Cox regression)
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Association Models (A priori, Carma, sequence, association rules)
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Regression and Classification Trees (CRT, C5, CHAID, QUEST)
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Segmentation Models (K medias, Two-Step, Kohonen, anomaly)
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Forecast Models or Times Series (exponential smoothing, ARIMA, ...)
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KNN
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Neural Networks
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Vectorial Support Machines
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Bayesian Network
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Random Forest
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XGBoost
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Isolation Forest