I'm a student in ESCOM, despite my great fascination with electronics, in recent years I have dedicated much of my time to specialize in Data, from DB management, exploratory analysis, predictions models, Machine Learning models, I have even made image analysis for disease detection and emotion classification.
I'm a great computer enthusiast, I've been in academic excellence for two and a half years, and I have a Santander scholarship in Data Science.
My countries besides computers are motorsport, I am a big fan of Formula 1, I also like to cook and collect cacti.
Imagine using a dating application, where you magically find a person who looks like the one you have always looked for, they also have the same favorite band, because now it is possible to find that person only with Artificial Love, because we know it's about chemistry, but statistics may help.
This is a project that thanks to the detection of patterns generated by a convolutional neural network, is capable of detecting with an accuracy of 97.73% * patients affected by the coronavirus SARS-CoV-2 (COVID-19) receiving as input a photograph of the chest of a patient, using a web application as an interface.
We know that traveling in a city like CDMX can be dangerous, that is why we designed an application that helps you reach your destination for your work or school colleagues Note: This project is made in order to economically analyze its feasibility, it was developed in the subject "Project Management"
I consider AI to be one of the most important technologies today, that is why I have dedicated myself to researching the most important algorithms in different sources and I have made several notebooks that you can check in my repository (click on the image).
As a technician in Digital Systems, I have carried out several projects, but in the following repository are the most important ones that I did while studying at ESCOM, some of these projects are carried out in the remote laboratory of the school.