Data processing for all fields of knowledge

The task is to develop an algorithm for separating deviations into those caused by the operation of the equipment and those caused by a malfunction of the sensors. An expert in the field will be provided to help.

There are results of Ansys numerical modeling of complex shape building structures strength, as well as the results of laboratory testing of materials. The results should be checked for adequacy. In addition, in case of detection of modeling flaws, I would like to receive recommendations for changing the methodology. Cost per hour of consultation.

There is a lot of data on fuel compatibility, on the basis of which it is necessary to obtain a prediction. Traditional regression methods cannot describe a multifactorial dependence, machine learning and neural networks will probably help.

Arash HadadSpecialist, Engineering staff

There is a large set of profiles of employees who quit or stayed to work in various organizations. There is also data on motivation systems in companies. The data is unstructured, the format of the questionnaires is different, but I know who quit and who stayed. I would like to make a model that, according to the employee's profile and the motivation system, will predict the turnover in a particular company.

A full cycle of data analysis, starting from mathematical foundamentals, choosing and programming a model, and ending with the quantitative conclusions interpretations. Supervised and unsupervised models. Structured and unstructured data.