? DevOps operations to give support and deliver a level of automatization to the company's current system, based on Python, Java, Matlab, and MySQL, under Linux systems. ? Optimization of ETL processes to a relational database (MySQL). ? Mathematical analysis of available datasets using Matlab. ? Implementation and documentation of processes of training and validation of automatic learning and tests in real environments. ? Design a Big Data framework, to migrate from the current system to a more efficient and scalable solution. Implementing Apache Hadoop for data storage and governance, and Scala for data ? predictive analytics, machine learning, deep learning, statistical learning; ? automation, scripting, data pipelining, ETL; ? web scraping; ? web / app tracking ? Solving business problems and increasing efficiency with data analysis and machine learning. Build working models that automate tasks and perform them more efficiently. ? Working directly with key application developers to understand the current and future problems they are solving, creating and optimizing core parallel algorithms and data structures to provide the best solutions. ? A typical task was to find the most optimal channels to attract customers and form their profile. After the data were generated and analyzed, the signs were identified and the model built using machine learning, which allowed for a significant increase in profits, in some cases the increase reached 500 percent. ? The use of deep learning algorithms for computer vision problems, namely the classification of images. Tasks were solved in the production of identifying the defective products and automate this process.