Erick Gomes

Background

About Erick Gomes

Hello, my name is Erick Gomes, I have a bachelor's degree in Physics with an emphasis on Computational Physics from Universidade Federal Fluminense (UFF). I am currently studying for a master's degree at UFF and have been developing research involving Data Science and Materials Physics. I use Machine Learning techniques to predict material properties and thus assist in the search for new materials for possible applications. I am currently working as a Data Scientist and Machine Learning Engineer, working with the definition of business problems and structuring the solution using machine learning algorithms and also structuring MLOP pipelines. I have worked as a data scientist using financial data and experience with the Open Finance structure. I have worked with interdisciplinary teams in the construction and implementation of new projects. During my master's degree, I developed my research in an interdisciplinary way using machine learning algorithms and data science to solve problems in theoretical and computational physics. I was a monitor for the Machine Learning Applied to Physics course taught in the postgraduate program. During my undergraduate studies, I developed academic extension and scientific initiation projects. In the extension project, I used Arduino to develop experiments and teach physics, mathematics and programming language to students in public schools, in addition to teaching about Linux systems. Another contribution during the project was being responsible for training other undergraduate students to jointly develop other experiments. The projects during the extension involved C/C++ and Python languages. In the scientific initiation, I was able to develop my knowledge in Linux systems, shell script programming, C language and parallelism using OpenMP and MPI. I also used computer simulation programs in materials physics and high-performance clusters, having used the Santos Dumont Supercomputer. The scientific initiation culminated in my TCC in which, through computer simulation of materials and data analysis, I was able to develop a method to detect three different types of molecules, molecules that are of interest to the pharmaceutical and cosmetics industries. I have been developing professionally in my career in data, always attentive to new tools and with a main focus on solving problems. Portfolio: https://erickfog.github.io/portifolio_projetos/