Cartesian DataSciences Information

Cartesian puts data to use in a marketing context, helping 70 global brands to improve revenues and margins, getting better use of their transaction data for business decisions and marketing interventions. We're a team of 200 people, located at 3 delivery centers -- all highly skilled at statistics and machine learning. Tools and methods used in various projects include regression, clustering, random forest, boosting, Markov chains, genetic algorithms, Pareto/NBD (negative binomial distribution), support vector machine, collaborative filtering, time series forecasting and linear programming.