Guilherme Ferreira Dos Reis Email and Phone Number

As a Full-Stack Developer at Software House UNDB, I specialize in developing software solutions with integrated data science techniques to enhance decision-making. My responsibilities include front-end and back-end development, data analysis, and the implementation of machine learning models to create data-driven applications.Key Responsibilities:Software Development: Designed and maintained full-stack applications using React, Node.js, and Spring Boot, implementing responsive UIs, RESTful APIs, and server-side logic for seamless functionality.Data Science Integration: Applied data cleaning, statistical analysis, and machine learning techniques to extract insights and enhance application features.Database Management: Managed databases like MySQL, PostgreSQL, and MongoDB, optimizing data handling and creating queries to support app functionality.API Development: Built and integrated APIs, ensuring secure and efficient communication between front-end and back-end components.Data Visualization: Created interactive dashboards with Power BI and JavaScript libraries, providing actionable insights to clients.Collaboration: Worked in Agile teams, collaborating with designers, managers, and data scientists to deliver quality software solutions.CI/CD Automation: Implemented CI/CD pipelines with Jenkins and GitLab CI to automate testing, deployment, and monitoring, improving software delivery.Client Interaction: Engaged with clients to understand requirements, deliver tailored solutions, and refine products based on feedback.Security Practices: Ensured code quality and application security through best practices, regular code reviews, and performance optimizations.Key Achievements:Successfully delivered full-stack applications that enhanced client operations and user experiences.Integrated predictive models that improved application intelligence.Enhanced deployment efficiency and software stability through CI/CD automation.

As an intern at Consórcio Alumar, I gained valuable experience working closely with my supervisor and other professionals across various levels of the organization, from shop floor staff to leadership. My role focused on supporting internal processes and enhancing operational efficiencies through research, client engagement, and idea generation.Key Responsibilities:Market Research Assistance: Supported market research activities to identify trends, gather insights, and provide data-driven recommendations for operational improvements.Client Engagement: Engaged with internal clients, capturing and integrating their ideas into ongoing projects, fostering a collaborative environment.Report and Presentation Development: Produced detailed reports and presentations to communicate findings and disseminate innovative ideas throughout the organization.Networking and Benchmarking: Conducted benchmarking activities with companies from different sectors and between different plants, facilitating the importation of best practices and innovative solutions.Cross-Functional Interaction: Maintained high levels of interaction with professionals across different organizational levels, enhancing collaboration and understanding of internal workflows.

At Hatch, providing services to Alcoa, I worked as a Systems Programmer, engaging with all organizational levels, from shop floor personnel to senior leadership. My main responsibility was developing and maintaining a data pipeline for an autonomous system aimed at diagnosing health and safety risks. This system provided valuable insights that supported decision-making. I utilized tools such as Power BI, Power Automate, and Azure Cloud to create automated, paginated reports, enhancing data visualization and information comprehension.Key Responsibilities:Stakeholder Engagement: Collaborated with different levels of Alcoa’s organization to promote insights into operational processes and improve communication between the shop floor and leadership.Data Pipeline Development: Designed and maintained a data pipeline using Azure Cloud, focusing on data cleaning, modeling, and processing for accurate, real-time diagnostics of health and safety risks.Autonomous System Implementation: Contributed to building an autonomous system to monitor, detect, and diagnose conditions affecting workplace safety, providing proactive insights to mitigate risks.Automated Reporting: Developed Power BI reports, integrated with Power Automate, for streamlined data visualization and distribution across all organizational levels.Decision Support: Enabled data-driven decision-making by delivering reports that highlighted critical health and safety metrics.Technical Tools:Power BI for interactive reports, Power Automate for automation, Azure Cloud Services for data management, and Python and SQL for data processing.Key Achievements:Implemented a system that improved early detection of safety risks, enhancing workplace safety at Alcoa.Boosted efficiency in safety monitoring, reducing manual data analysis time.Fostered a proactive risk management culture with clear, actionable insights for Alcoa’s leadership.