Implementation of machine learning techniques: supervised, unsupervised, reinforcement learning. Programming in Python and R languages. Implementation of intelligence modules in the variability of data in Big Data. Documentation of the stages of development of smart modules. Application of feature engineering techniques. Management of tools for documentation oriented to live code: jupyter.

Structure the need and scope of requests for information or statistical analysis, for decision-making by business units or processes. Socialize the results of the analytical products with the applicant and carry out the deployment of the solution. Create, with the support of the Center for Analytical Competences, the necessary means and mechanisms to transmit statistical information to different levels of Compensar. Participate in the design and establishment of standards, me

Calculate indicators that allow regulating the operation of the operators that provide the service to the entity. Determine the minimum sample size required to obtain the indicators. Implement prediction models to define the operating time of the bus fleet.