#OpenToWork
Hi, I'm Rafael Assis, majoring in Computer Science at UFU. Since childhood I have been interested in technology, so much so that my high school was linked to the computer technician, where I had my first contact with algorithms. In college I was able to delve into computing, and through an internship of about 2 years, I became a full-stack developer.
From my contact with Scientific Initiation I fell in love with the area of Data Science. This experience resulted in the participation in the preparation of a scientific article: Feature-based time series classification for service request opening prediction in the telecom industry
During graduation I was able to work with several technologies, in which I chose to specialize more in: Vue.JS for Front-End, Node.JS for Back-End and Python for Data Science.
High school integrated with IT technician
Bachelor in Computer Science
Main activities
+ Monitor in Logic Programming.
+ Scientific Research and Final Paper in the data area
+ Co-author of the article Feature-based time series classification for service request opening prediction in the telecom industry
Internship as a junior full-stack developer at Neppo working on two projects:
Project 1: Application for querying API and database reporting. Additionally loading data from external API into company databases
Technologies: PHP as BackEnd and Angular.JS as FrontEnd. Pentaho to do ETL data.
Technologies: Java (Spring Framework) as BackEnd and Vue.js as FrontEnd.
In both using: HTML, CSS, Database MySQL, methodology agile Scrum and Git.
Business Intelligence (BI) Projects: Data Analysis and Dashboards
Dashboard and data analysis on the election of state deputies in Bahia/Brazil in 2018
Salary analysis, technologies and activity of the 4 main positions in the data area
Analysis of the election to federal deputy in 2018
Machine Learning project that checks whether or not an employee will leave the company
Data Science and Artificial Intelligence projects
Repository with studies, kernels and codes about Data Science
Evaluates comments as positive or negative through an Artificial Intelligence model
Flask server to provide access to the Machine Learning model to classify comments
Work Order Predictor (application of my Final Paper)
Flask API for Work Order Predictor (Final Paper application)
Web projects: Full-stack: back-end/front-end
Web application for monitoring and price evolution of local products
API REST of LogPriceApp
Index generator (Table Of Contents) for MarkDown files
REST API in Java for library system
Counter using Nuxt and TypeScript
Application to register News to People
Rest API for "Archive Person App" application
Reproduction of Web Pages. CSS and WebDesign Training
Application for querying Git repositories
News Blog developed in course about react
URL Shortener (in progress)
Rest API for link shortener
Eunápolis/Bahia/Brasil
rafaassis15@gmail.com
Eunápolis/Bahia/Brasil
rafaassis15@gmail.com
