Development of an application to predict candidates who will pass the entrance exam and their first academic year. ● Analysis of academic data to identify key success factors. ● Design and development of a predictive model to estimate candidates' chances of success using machine learning techniques. ● Creation of an interactive dashboard with Power BI to visualize results.

Development of a web and mobile application to classify banking transactions and import entries into Sage 50. ● Automation of accounting import and processing of banking data. ● Secure authentication (OAuth2) and integration of classification algorithms (Scikitlearn, TensorFlow).

● HR Management Application Development. ● Analysis of functional and technical requirements, in collaboration with the team. ● Web application for staff time and attendance management: attendance tracking, schedule management, and report generation. ● Desktop application for managing leave and absence requests.