Acerca de mi

Actualmente trabajando como desarrollador web 3 años en el área de Back-End y DBA. Y especializándome como Científico de datos desde el 2018 a la actualidad.

Estudios

Mis habilidades

Como desarrollador web, tengo habilidades avanzadas en SQL, TypeScript y Java, y he trabajado con bases de datos populares como PostgreSQL, Oracle y SQL Server. Como científico de datos, tengo experiencia en Python, bases de datos no relacionales, data no estructurada, machine learning, redes neuronales y deep learning.

Java
80%
Python
90%
SQL
95%
Typescript
80%
AppScript
75%
PostgreSQL
95%
SQL Server
95%
Oracle
90%

Certificados

Idiomas

Ingles:

Ingles avanzado
Certificado otorgado por:

Portugués:

Portugués avanzado Certificado otorgado por:

     

Proyectos de Investigación

Published in: 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)

This paper makes a comparison between 3 systems deployed on different platforms (Web, Desktop, Mobile) which implement the DEMUCS neural network, responsible for separating sources of musical origin. The objective of this work is to determine on which platform the neural network can be executed more quickly for the use of the average user and from this to propose an optimal architecture for standard development. 

Published in: 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)

Summary – Currently in different organizations and public entities, have large amounts of data and many times the tools or technologies that achieve the analysis of such data are unknown. in this context, business intelligence emerged, which allows data to be analyzed and provided information to supports decision- making for senior executives of public entities. The objective of this research is to propose a business intelligence architecture that provides a solution to manage large amount of information.

Experiencia