We employ multiple statistical and computer science techniques to learn from historical data and predict future events for benefit of your business. If historical data has reasonable patters, our prediction algorithms can help you to find the risks and opportunities in your respective areas of business.

Our predictive analysis process specifically focuses on following main steps;

• Preprocessing of input data
• Selection of discriminatory features
• Development of predictive algorithm
• Evaluation of prediction results

Tools and Technologies

Machine learning, Bayesian statistics, data mining
R, C/C++, Python, SAS, SPSS, Matlab