Eduardo Nakatani

Multidisciplinary research, connecting computer science and medicine, with the aim of developing a machine learning model to determine a correlation between traditional uroflowmetry and sound uroflowmetry.

Member of the National Innovation and Technology Team, creating, managing and developing projects for a better world.

Undergraduate of Computer Science, Learning advanced programing languages techniques in Python, Java and C++. Planning and developing software for group projects, using version control with Github

Learned how to set up a working database enviroment. Developed database models applying normalization and implemented using SQL programming, extracting information through queries.

Explored different types of web application and server vulnerabilities, learned how to find vulnerabilities and determine their impact on software, and how to prevent cyberattacks

Learned the software development cycle, resource estimation and risk identification.