Eng. Víctor Saavedra Chávez

Fullstack Developer, Computer Systems Engineer

Victor Manuel Saavedra Chávez is a Computer Systems Engineer specialized in Fullstack development, with skills in UI/UX design, Big Data analysis, 3D printing and project management. Additionally, he is an IoT and mobile application developer.

During his career, Victor has managed to stand out in various areas. In 2012, he won first place in a nationwide software development competition. He has also been a scholarship holder at the Telmex Technology and Innovation Center (CTIN), where he received training in various software development technologies, design, information analysis, data mining and predictive analysis. At ThinkTank, he was trained by the likes of Lula Da Silva, Tony Blair and Pep Guardiola.

Victor has collaborated on technological projects for organizations such as the UN and UNESCO. He has also been part of MLH (Major League Hackers) in Europe, receiving several invitations a year to participate in hackathons in countries such as Germany, Finland, Hungary and France.

Currently, Victor is the leader of the SmartcitySanmiguel project, which seeks to convert the city of San Miguel de Allende into a smart city. It works in various axes, such as mobility, security, education and sports. He has also developed software for various municipalities in Guanajuato, including San Miguel de Allende. Victor speaks Spanish and English.

Ideaz in Action

PRESENTATION: Cities of the future

12:30 pm - 1:20 pm

This presentation will address the intersection of health and technology, and how information analysis and data mining can help make better decisions in the provision of medical services.

A practical example will be presented using a mobile application and a web platform based on Google Maps, to show the geolocation of people with similar symptoms or related diseases. Through the analysis of patterns and trends, it will be demonstrated how data mining can help improve medical decision making.

The objective of the presentation is to demonstrate how technology and data mining can be a valuable tool for medical care, by allowing better identification and response to patterns of diseases and symptoms in the population. Attendees will learn how this technology can improve the efficiency and effectiveness of healthcare delivery and improve the quality of life for patients.