Software development

Software Development
EMT not only possesses the theoretical expertise in machine learning but is also able to provide the software applications regarding the entire data engineering and data science pipeline. The professionals in the group have years of experience in developing code in languages such as R, Python and SQL and integrating their solutions into the appropriate cloud environment. In this way, our clients find themselves using flexible software products that they can adapt to ever-changing needs. Special emphasis is placed on the use of generative models, the recent growth of which is showing an explosive trend.
Our software products also can be easily used on their own, although advice is constantly provided with the aim of better integrating the data analysis process with the client's existing IT structures. The applications created are ideal for such highly diverse purposes as the creation of data journalism products, customer classification and profiling for marketing purposes, identification and prediction of economic and financial trends for investment purposes, and others.
EMT team employs professional data analysts and data scientists with experience at the highest levels. The group is able to offer services for building, updating and extracting summary indicators of complex databases with various levels of granularity and types of information. The data analyzed are of various types: from financial series to complex text corpus (news, social content etc). The use of machine learning techniques, including a strong emphasis on the use of deep learning models, allow EMT to extract as much added value as possible from the datasets available in order to be able to make predictions and decisions, inherent to its business, in a rational manner. EMT is able to produce sophisticated reports in which a variety of both commonly used and proprietary indicators are used, providing a summary overview of the analyzed data
We also work with both in-house built sources and major providers in various fields, ranging from industry associations to specialized rating providers. Special attention is paid to risk management techniques, both financial and reputational and environmental, using sophisticated proprietary statistical models.