I am a Master's student in Information Engineering and I am currently working on my thesis project focused on helping you to interact and understand Machine Learning systems. I have implemented data analytics and Big Data solutions in contexts suchs as tax administration, public health and mobility. In addition, I have previous experience in backend and frontend development and TI infraestructure.
I started my career working on software development (backend and frontend) and some of IT infraestructure. Mainly on a technical level. Now, I am more interested in data science and Big Data related fields, no forgetting previous experience.
Below, you will find the main languages and tools in which I can support you. If you need to cover additional requirements, you can contact me.
January 2017 - Present
December 2017 - April 2018
Teaching activities for the Big Data and Data Analytics course: Data science, information visualization and Machine Learning modules. Development of theoretical and practical sessions with a total duration of 60 hours.
April 2016 - June 2017
Software development and support for electronic payment systems. Most pf the time I focused in the design and development of the frontend layer applying AngularJs and REST webservices.
November 2014 - April 2016
Management and implementation of projects of virtualization and information security. More specifically, I worked in the administration of VMware virtualization environments, application and database server diagnostic and implementation of domain controller and terminal server hostings.
July 2014 - November 2014
June 2012 - October 2013
Requirement analysis and software development based on Java Enterprise Edition, Vaadin, Oracle and IBM WebSphere Application Server.
January 2017 - Present
Master of Information Engineering with enphasis in Machine Learning and Visual Analytics.
February 2008 - December 2015
Systems Engineering with enphasis in software development, databases and Artificial Intelligence.
I can help you to take advantage of your data and gain a competitive advantage by implementing advanced machine learning models and enabling you to make decisions more effectively.
My experience involves different stages of data lifecycle, principally, getting and transforming large amounts of data and creating effective data visualizations in free and privative technologies.
For delivering your data to staff and customers, you will need robust and innovative software systems including common practices as agile development and cloud deployment.
(+57) 317 378 00 11