Mechanical Engineer with experience in project management and data analysis. Ability to lead teams and work collaboratively with other departments. Experienced in cost reduction and process improvement. Technical knowledge in Looker Studio, SQL, Python, and Power BI. Author of an article on composite materials focused on the aerospace industry. Experience in managing projects with personnel in charge. Interested in optimizing data analysis processes. Passionate about applying my knowledge in the aerospace industry and helping organizations take their work to the next level. • Extraction, Transformation, and Loading (ETL): Developed Python programs to automate the extraction of data from the company’s intranet, transforming it using pandas, and loading it into SQL Server, facilitating advanced analysis and decision-making. Regularly utilized SQL Server for automation processes and to extract data for objective reporting. • Data Visualization and BI: Created intuitive and dynamic dashboards in Looker Studio, Power BI, Ploty from python enabling stakeholders to access clear visualizations of relevant data and key trends. • Automation and Data Analysis: Implemented Python scripts to automate the sending of emails with relevant data and analysis, improving internal communication and access to critical information for company management. Extensively used SQL Server to manage and manipulate data for these automations and analyses. • Performance Indicator Management: Supported ERP measurements to develop and monitor key performance indicators, contributing to the tracking and continuous improvement of business processes. Leveraged SQL Server for extracting and analyzing data necessary for KPI development and monitoring. • SQL Server Proficiency: Constantly leveraged SQL: Server for automation tasks and data extraction for the creation of objective and insightful reports, demonstrating advanced proficiency in database management and SQL queries for data analysis and business intelligence purposes.