– Development and deployment of predictive models for cash and card operations, achieving significant cost reduction and operational optimization.
– Design of end-to-end data solutions integrating Python, databases, automation tools, and dashboards used by decision-makers.
– Automation of analytical and operational workflows, reducing manual effort and improving data reliability.
– Development of forecasting, segmentation, and anomaly detection models supporting risk and operational decisions.

– Cloud migration and optimization of data platforms (AWS, MongoDB).
– Design of ETL pipelines and data quality validation processes.
– Data preparation and transformation for machine learning models.

– Backend development using Java and Spring.
– Resolution of production issues and system maintenance.

- Training teachers and students in the use of technology tools to attend to schoolwork in virtual mode during the health crisis caused by COVID-19.
- Generation of a virtual platform to visualize courses and register evaluations of postgraduate subjects.
Publication of a new modern design using CSS preprocessors.
- Improvement of 20% of the acceptance index and 15% of the intuition qualification in the virtual platforms of the
CITE, from the qualification of the users.
- Automation in the process of validation and publication of a course on the virtual platform using RPA's.