CV

I am a Junior Developer transitioning from a career in Civil Engineering, where I built a strong analytical foundation. I am currently pursuing a specialization in Deep Learning at CIN‑UFPE, deepening my knowledge in artificial intelligence and programming. I have hands‑on experience developing projects with Python, including integrating external APIs for data collection and processing. Additionally, I have completed courses that provided me with knowledge of JavaScript, HTML, CSS, and SQL, expanding my capabilities in web development and data analysis.

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Education

Postgraduate, specialization in Deep Learning, Recife - PE - Brazil

• CIN - UFPE, November 2023 - Current

Postgraduate, specialization in Transportation and Infrastructure, Minas Gerais - BH - Brazil

• PUC - Minas, September 2022 - December 2023

B.S. in Civil Engineering, Recife - PE - Brazil

• UFPE, March 2016 - June 2022
  • GPA: 8.32 / 10.00

B.S. exchange program in Civil Engineering, Lille - France

• Polytech Lille, September 2018 - June 2019
  • Fourth year of the Civil Engineering B.S. program
  • BRAFITEC excellence scholarship granted by a Brazilian corporation called CAPES.

Skills

• Database Management: Basic SQL;
• Deep Learning: Machine Learning; Computer Vision
• Front‑End (Basic Knowledge): JavaScript; HTML; CSS
• Back‑end Languages: Python and Libraries (Pandas; Plotly)
• Advanced Microsoft Office: Excel, Power Point; Word
• Logical Thinking:
• Engineering Software: AutoCAD; AutoCAD Civil 3D; QGIS
• Versioning and Code Collaboration: Git and GitHub

Work experience

Civil Engineering Assistant, Recife - PE - Brazil

• TPF Engenharia, August 2022 - August 2023
  • Usage of softwares such as Civil 3D and Excel to develop infrastructure drainage projects;
  • Project conception and dimensioning of drainage equipment devices

Civil Engineering Assistant, Recife - PE - Brazil

• TPF Engenharia, September 2021 - August 2022
  • Assistant in the final phase of a feasibility study for a new railway to be deployed;
  • Use of Civil 3D and QGIS softwares to develop a drainage system for infrastructure projects.

Teacher Assistant Internship, Recife - PE - Brazil

• UFPE, August 2020 - April 2021
  • Teaching assistant of Tridimensional Graphic Geometry course;
  • University’s period: 2020.3 and 2020.1.

Civil Engineering Intern, Recife - PE - Brazil

• TPF Engenharia, September 2019 - September 2021
  • Infrastructure Team
    • Assist in the development of a feasibility study for a new railway to be deployed in Brazil.
  • Cartography Team
    • Assist in a land regularization project;
    • Use of QGIS software for mapping features and data editing;
    • Development and creation of maps.
  • Quality Management Team
    • Research of virtual and augmented reality to be implanted in the company´s future.

Civil Engineering Intern, Recife - PE - Brazil

• Melo Gouveia Construção e Incorporação, August 2017 - January 2018
  • Surveillance for a residential building construction
  • Construction Management

Courses and Certificates

• Algorithm ; BY: Curso em Vídeo ; Certificate No. B3BC8-6297-9;
• AutoCAD module 1 (Essential) ; BY: StudioCAD ; Certificate No. 1PNFTTBF4;
• Complete Course: SQL for Data Analisys with BigQuery ; BY: Udemy;
• Python Journey ; BY: Hashtag;
• Machine Learning: Clusterization with Python ; BY: Udemy;
• Advanced 2016 Microsoft Excel ; BY: Fundação Bradesco ; Certificate No. DCE9877D-34D8-4CEF-84E1-562F388CC7E0;
• Project101x: Introduction to Project Management ; BY: AdelaideX ; Certificate No. 5f52fa5a98114052a891645a59b49615;
• Object‑Oriented Programming with JavaScript (Projects and TypeScript) ; BY: Udemy;
• Working on agile teams ; BY: DIO ; Certificate No. 3A5A21A4

Languages

• Portuguese: Native
• English: Fluent – ECPE C2 (Credential 336100006)
• French: Intermediate

Honors and Awards

• Academic Excellence Exchange Scholarship – Brafitec 2018

Publications

Analysis of longitudinal irregularity using SMARTIRI App in points of serious road crash occurrences into BR-101 in Pernambuco

Neves, M. E. E.; Freire, R. A. ANÁLISE DA IRREGULARIDADE LONGITUDINAL USANDO O APLICATIVO SMARTIRI EM PONTOS DE OCORRÊNCIA DE SINISTROS GRAVES NA BR-101 EM PERNAMBUCO. In: ANAIS DO CONGRESSO DE PESQUISA E ENSINO EM TRANSPORTES, 2022, Fortaleza. Anais eletrônicos..., Galoá, 2022. Avaliable in: https://proceedings.science/anpet-2022/trabalhos/analise-da-irregularidade-longitudinal-usando-o-aplicativo-smartiri-em-pontos-de?lang=pt-br .Access on: 10 Mar. 2025.