We are focused on statistical modeling, exploratory data analysis, machine learning algorithms, and social networks, as well as the ethical dimensions of Data Science.
 We specialize in reporting and analytics for engineering and other service providers.

Our engineers, program in different programming languages such as Python, R, Java, Ruby, Matlab, Pig or SQL. They have an understanding of Hadoop, Hive and/or MapReduce, including

• Natural Language Processing: the interactions between computers and humans;

• Machine learning: using computers to improve as well as develop algorithms;
• Conceptual modeling: to be able to share and articulate modeling;
• Statistical analysis: to understand and work around possible limitations in models;
• Predictive modeling: most of the big data problems are towards being able to predict future outcomes;
• Hypothesis testing: being able to develop hypothesis and test them with careful experiments.