Computer Science Student at UFRN
My name is Camila Duarte, I am 22 years old, and I am graduating in Computer Science at UFRN(Federal University of Rio Grande do Norte). I also graduated in Information Technology in February 2022. My main interest has been in the area of Software Development, mostly in Backend Development using C++ or Mobile Development using Flutter, and I am really into data structures, algorithms implementation and problem solving. My favorite programming languages are C++ and Python, and some of my skills are:
Programming Languages:
5 years: Python
4.5 years: C/C++
3.5 years: Java
1 year: Dart
2 months: TypeScript
Technologies:
Flutter, Scrum, Spring MVC, Git, HTML, CSS, PostgreSQL, Maven, JMeter
MobileNet, Pandas, Matplotlib, OpenCV, JMH, YOLOv3
Awards:
Became a writer of the Analytics Vidhya profile on Medium (2019, https://medium.com/analytics-vidhya/about)
Online Courses:
Data Science for Managers (DataCamp, 2019);
Supervised Learning with scikit-learn (DataCamp, 2019);
Winning a Kaggle Competition in Python (DataCamp, 2019);
Machine Learning with Tree based Model in Python (Datacamp, 2019);
Extreme Gradient Boosting with XGBoost (Datacamp, 2019);
Perform Real-Time Object Detection with YOLOv3 (Datacamp, 2020)
Getting Started With Spring Boot (Amigoscode, 2021)
Events participation:
Potiguar Programming Contest (2019, Brazil);
SBC(Brazilian Computer Society) Programming Contest (2019, Brazil);
Campus Party Natal (2019, Brazil);
Training extension activity of RN teams to the 2021 Programming Contest;
SBC(Brazilian Computer Society) Programming Contest (2021, Brazil)
Camila Duarte de Souza
+55 84 99170-5671
camila.duartes.018@gmail.com
https://github.com/camiladuartes
https://linkedin.com/in/camila-duarte-9b019a18b/
Google, Brazil — Software Engineer Intern
JANUARY 2023 – APRIL 2023
Worked on user survey platform team, mostly on the backend, through the development of an intelligent system to stop data collection from user surveys to improve resources usage, using C++, SQL and Angular.
NuT – Núcleo de Tecnologia in partnership with SEBRAE, Brazil — Mobile Developer (Flutter)
JULY 2022 – DECEMBER 2022
Helped develop an innovative mobile application for automating the work performed in the textile industries. With agile management using Scrum, API communication with http library, state management with MobX and smart project structure with Modular.
Digital Metropolis Institute/IMD-UFRN in partnership with Seva Engenharia Eletrônica S.A., Brazil — Mobile Developer (Flutter)
JANUARY 2022 – NOVEMBER 2022
Helped develop a smart mobile app for tracking drivers' journeys during cargo transport operations.
Digital Metropolis Institute/IMD-UFRN in partnership with the Federal Highway Police, Brazil — Computer Vision Researcher
AUGUST 2020 - NOVEMBER 2021
Helped develop an object detection system with MobileNet (model trained with the Tensorflow Object Detection API) and YOLOv3-Tiny aiming at greater automation and efficiency in the work performed by the Federal Highway Police.
Department of Informatics and Applied Mathematics/DIMAP-UFRN, Brazil — Natural Language Processing Researcher
AUGUST 2019 - JULY 2020
Helped build a system to visualize the POS embeddings data, which are the distributed representation of words at the grammatical class level, with the t-SNE technique, so we could have an intuition of how the data is organized in a high-dimensional space.
Federal University of Rio Grande do Norte, Brazil
FEBRUARY 2018 - FEBRUARY 2022
Bachelor of Information Technology
Federal University of Rio Grande do Norte, Brazil
FEBRUARY 2022 - JULY 2023
Bachelor of Computer Science
SmartSecurity, 2022
Police team request system upon receipt of incident lat long, returning the police team closest to the occurrence
Developed in Java with JMeter client:
Version 1: Java handmade implementation of UDP and TDP communication protocols using sockets;
Version 2: Implemented with the use of Spring Boot, Spring Web MVC and Spring Data JPA with PostgreSQL database;
Version 3: Project splitted into two microservices with the use of Discovery/Resilience4j/Gateway/Zipkin services and PostgreSQL.
BlooD, 2022
Blood donation mobile application
Developed in Flutter using state management with MobX, smart project structure with Modular and OpenStreetMap API. User interface designed through figma.
SmartStock, 2021
Stock management system for companies that make products on demand or to order
Developed in Java with the Layered Architecture Pattern composed of GUI, Business and Data layers, in addition to the Singleton Pattern. A framework for three different applications was also created using mostly the Strategy Design Pattern.
"An Efficient CNN-based Approach for Automatic Brazilian License Plate Recognition":
Conference Paper published at the 8th International Conference on Computational Science & Computational Intelligence at Symposium on Smart Cities and Smart Mobility (CSCI-ISSC).
Four articles published on the platform Medium, added to the Analytics Vidhya profile, focused on Machine Learning, with code and explanation of some Machine Learning models and their respective pipelines; and the definition and some explanations about Artificial Intelligence and Deep Learning.