Structure and governance for data analysis
The aim of this project is a complete immersion in the development of an advanced data app, aimed at improving corporate governance and supporting strategic decisions in organizations. It will use advanced algorithms to clean, categorize and structure this data, making it ready for in-depth analysis. The importance of the user interface will be explored, developing intuitive dashboards that [...]
Hyperconnectivity for Smart Cities
The overall goal of the project is to develop a robust and scalable software architecture to support the infrastructure needed for secure applications in smart cities. The main challenge is to manage the massive volume of data coming from edge devices, which includes a wide range of smart devices such as traffic sensors, [...]
Management data reports and dashboards
The aim of the project is to develop technological solutions that improve HR management. The creation of reports and dashboards will be explored, with the purpose of visualizing specific HR information, promoting more effective management and data-based decision-making. The ultimate goal is to provide significant value to the sector [...]
Scalable application in distributed systems
The aim of this project is to develop a highly scalable, available, distributed system based on microservices. A system deployed in the cloud must be able to handle a large number of simultaneous requests and be easily scaled to handle more requests as traffic increases. The product is developed and deployed [...]
Management systems and corporate governance
Creating a business management system - ERP (Enterprise Resource Planning) - aims to improve operational and decision-making processes in organizations. An ERP system enables the integration and automation of business processes, working in various areas such as finance, accounting, human resources, production, stock, sales and marketing. From [...]
Predictive Model Development in Business Applications
The aim of this project is to delve into the principles of deep learning, from fundamentals to advanced applications, focusing on fraud detection. The application of deep learning in fraud detection is pertinent in various industries due to its ability to identify complex patterns in extensive volumes of data. APPLICATION EXAMPLES: FINALIZATION AND [...]
Automated testing and software quality control
The aim of this project is to carry out software testing and quality control processes. In this sense, the project envisages the construction of a system of reduced size to be used as a basis for the development of various types of tests (black box, integration, unit, load and so on), considering the definition [...]
Hyperscalable applications
Development of hyperscalable applications, focusing mainly on the programming of scalable services and the development of hybrid applications, to interact with the services created by different modes of user use, such as web applications and native applications for mobile devices. The concepts of synchronous and asynchronous systems will be explored. Different tools for testing [...]
User behavior analysis in digital interfaces
The project aims to understand and model user behavior in digital interfaces, using techniques such as Monte Carlo simulation and A/B testing to predict and analyze different usage scenarios. This includes developing skills in programming, simulation, and statistical analysis to improve the customer experience on websites and apps. [...]