- Developed automation solutions to optimize processes and increase operational efficiency using Python, AWS, React, SQL, and RPA;- Created scalable systems to automate complex workflows and improve business outcomes;- Analyzed business processes and implemented automation tools, generating over 200 hours of operational efficiency;- Implemented automation solutions that significantly reduced manual effort, allowing the team to focus on more strategic tasks;- Contributed to full-stack development by building and maintaining robust web applications that meet business needs and enhance user experience;- Integrated automation solutions across various departments, resulting in time savings and cost reductions;- Combined technical expertise and a deep understanding of business operations to deliver high-impact solutions that support the company’s goals and growth.

- Developed automation solutions aimed at optimizing processes for both the public and private sectors using Python, Selenium, PyAutoGUI, and low-code Python applications;- Designed and implemented end-to-end automation systems, streamlining data processing tasks and improving accuracy;- Created Excel-based automation to reduce manual effort and improve data processing efficiency;- Analyzed and mapped complex business processes, identifying opportunities for automation to improve efficiency in key functions like tender collection and analysis;- Automated repetitive tasks, significantly reducing time spent on manual data entry and enabling the team to focus on higher-value activities;- Played a key role in creating and delivering presentations for automation sales, showcasing the value of our solutions to potential clients;- Developed internal automation solutions to optimize company operations, improving workflow efficiency and reducing repetitive work;- Combined technical expertise in automation with a deep understanding of business needs, delivering solutions that enhanced productivity, accuracy, and operational effectiveness.

- Operated complex attractions at Walt Disney World, ensuring the highest standards of safety, efficiency, and customer experience;- Oversaw attractions requiring a strong understanding of mechanical systems, executed safety procedures, and conducted thorough inspections to identify potential faults or defects;- Made critical decisions balancing efficiency, courtesy, and safety to ensure a memorable and safe experience for each guest;- Maintained a proactive approach to safety and troubleshooting, contributing to the smooth operation of attractions central to the Disney experience;- Interacted with guests to enhance their visit and uphold Disney's high standards of service, managing crowds, resolving issues, and ensuring every guest felt valued;- Worked to create positive and impactful experiences, aligning with Disney’s reputation for excellence.

- Managed and supported projects focused on machine learning solutions for Health and Safety in Industry at CNI - Confederação Nacional da Indústria;- Applied agile methodologies to ensure efficient project execution, collaborating with cross-functional teams to meet deadlines and deliver high-quality results;- Assisted in the development of machine learning models designed to improve safety protocols and optimize industrial operations;- Played a key role in monitoring data migration projects, helping transition data from legacy systems into non-relational databases, ensuring seamless integration and minimal disruption to ongoing operations;- Actively participated in data analysis processes using tools such as Matplotlib, Seaborn, and Sklearn to generate insights that informed project decisions;- Worked with Pandas to extract and manipulate data from legacy systems, ensuring data cleanliness, structure, and readiness for analysis;- Developed a solid foundation in data science, machine learning, and project management, contributing to initiatives that improved health and safety standards in the industrial sector.

- Monitored and managed financial data related to public policies at the Ministério da Educação, ensuring resources were allocated effectively and aligned with strategic objectives;- Conducted regular data analysis to track the financial performance of various education initiatives, providing valuable insights for decision-making and policy optimization;- Developed dashboards using Power BI to visualize key financial data and performance indicators (KPIs), enabling senior management to easily assess financial status and make data-driven decisions to improve public policy execution;- Contributed to financial data management, ensuring accurate processing, storage, and accessibility of all financial information for analysis;- Gained a deep understanding of the intersection between data analysis and public policy, while enhancing skills in financial management and reporting;- Developed strong technical and analytical skills, contributing to the effective monitoring and management of public sector finances.