Bruno Raphael Facundo Email & Phone Number

Bragança, Portugal

Medianeira, Paraná, Brasil

• Building and maintaining Web applications in C#,.NET, React, HTML5, CSS3, JavaScript and Python.
• Maintaining PostgreSQL, MySQL and SQL Server databases, running queries to support end users. Project management and business development.
• Utilizing Docker to create and manage containerized environments, ensuring consistency across development, testing, and production.
• Implementing CI/CD pipelines using Jenkins, automating build, test, and deployment processes to streamline the software development lifecycle.
• Employing Git for version control, managing code changes effectively.

Medianeira, Paraná, Brazil

• Provided academic tutoring for the Bachelor's Degree in Computer Science program.
• Conducted tutoring sessions across multiple subjects, including: Introduction to Computer Science, Mathematical Logic, Fundamentals of Programming, Structured Programming Language, Data Structures and Data Search and.
• Assisted students by clarifying complex concepts and solving problems that were challenging during lectures.
• Ensured a clear understanding of intricate topics, facilitating student success in mastering course material.
• Supported a diverse range of students across all campuses, contributing to improved academic performance.

Medianeira, Paraná, Brazil

• Led image processing tasks in a scientific research project, applying advanced techniques for agricultural monitoring.
• Utilized Python's OpenCV library for pre-processing and analyzing images.
• Implemented color space transformations and separated color channels for enhanced image analysis.
• Developed and applied binarization techniques to isolate and extract key objects of interest from images.
• Designed and implemented an Machine Learning Python algorithm to calculate leaf area, enabling accurate monitoring of plant growth and development.

Medianeira, Paraná, Brazil

• Developed a web application using C# and ASP.NET Core for optimizing tourism routes and allocating vehicles and drivers, focusing on improving passenger transportation efficiency.
• Utilized routing APIs and Organizational Research methods to optimize routes based on pickup points, implementing vehicle routing to meet the demands of each route segment in an optimized manner.
• Integrated the Google Maps API to calculate routes and create test scenarios, analyzing various vehicle and pickup point combinations.
• Achieved a significant reduction in travel distance and time in multi-vehicle scenarios, while also assessing cost-effectiveness in single-vehicle cases.
• Provided a solution that increased operational efficiency, customer satisfaction, and profitability for transportation companies through effective route optimization.

Medianeira, Paraná, Brasil

• Conducted statistical analysis of concrete deformation data from the Itaipu Hydroelectric Dam, measured by strain gauges arranged in rosettes on instrumented concrete blocks.
• Analyzed time series data from 2010 to 2018, focusing on the deformation of the RD-D09 strain gauge rosette, influenced by environmental temperature.
• Modeled five weekly time series using R programming and RStudio to forecast deformation data for 53 weeks (one year), comparing predicted values with actual data.
• Employed the Simple Moving Average (SMA) model to forecast deformation for all weeks of 2017 and the first week of 2018, achieving a low MAPE error of 1.355966, indicating high accuracy.
• Published a scientific article detailing the statistical analysis and prediction of dam deformation data, highlighting the effectiveness of the forecast model and the satisfactory residual analysis results.