Superset

Lucia is an Industrial engineer with a special interest in operations and data analysis. Lucia led several teams at different production sites, and has over 10 years of experience in Supply Chain & Ops roles.

Specializing in developing robust solutions with Python, expertise is evident in frameworks such as Flask, FastAPI, and Django, alongside comprehensive skills in database management systems like MongoDB, MariaDB, PostgreSQL, and DB2. Proficiency in Docker and Kubernetes for containerization technologies and experience on the OpenShift platform enhances the ability to efficiently manage container applications, incorporating robust continuous integration and delivery (CI/CD).

With an academic background in Electrical Engineering from the University of Araraquara and ongoing studies in Data Science at UNIVESP, the skillset includes the application of Continuous Integration (CI) and Continuous Delivery (CD) practices using Jenkins for workflow automation. There is significant competency in inter-service communication through RabbitMQ and extensive experience with data ETL processes utilizing IBM DataStage.

Involvement in Artificial Intelligence and Machine Learning projects demonstrates the use of libraries such as numpy, pandas, and sklearn, as well as frameworks including TensorFlow, Keras, Yolo, OpenCV, Tesseract, and Paddle to develop innovative data-driven solutions. Additionally, translating complex insights into accessible information involves creating interactive dashboards with Tableau and Power BI to facilitate data-based decision-making.

A technology innovation enthusiast with a passion for new challenges, this professional aims to apply advanced technical knowledge and collaborate with teams to drive success in transformative projects.

An experienced Analyst and Developer specializing in the design and implementation of workflows for efficient data collection and management.

A technologist in Managerial Processes from UNIP, with over seven years of experience as a Business Intelligence and Marketing Analyst. Demonstrates a rapid learning capability and a continuous pursuit of new knowledge. Characterized by communicative and participatory leadership skills, combined with spontaneity and motivation in professional duties. Known for dynamism, proactivity, and the ability to foster team harmony while upholding high service quality standards. Proficient in various stages of BI project management, including analysis and development, which enhances the agility and reliability of information delivery to strategic areas. Exhibits a strong capacity for understanding, structuring, and planning demands. Also, provides support through training and disseminating knowledge on processes, routines, and tools.

Data Management Professional with over six years of experience in implementing business intelligence solutions, specializing in project conception and strategic indicator mapping. Expertise includes technical development with Power BI and the dissemination of knowledge through company-wide lectures and educational sessions.

A skilled developer with a passion for creativity and storytelling, this candidate excels in collaborative environments and enhances team dynamics. Holding a degree in Digital Games, they are currently pursuing specialization in game and film scripting while expanding their knowledge in Full Stack Web Development. Proficient in both frontend and backend technologies, the candidate demonstrates expertise in REACT, HTML, JavaScript, Python, REACT Native, CSS, MongoDB, SQL, Tableau, and more, along with familiarity in GIT, GitHub, Scrum, and Agile methodologies. Their professional experience includes a role as a Data Analyst, where they acted as a Tableau developer and server administrator, integrating SQL systems with Tableau for national-scale projects in Brazil and Peru, as well as prior experience in sales support and system registration in various industries.

A Data Analyst specializing in data collection, organization, and analysis using advanced tools such as Excel, SQL, Pentaho, and Power BI. Possesses a keen ability to identify relevant trends and patterns in data, consistently applying a proactive approach to problem-solving to meet business needs. Demonstrates a strong commitment to collaboration with multidisciplinary teams to discover innovative ideas and deliver valuable insights. Dedicated to continuous improvement by learning from experienced colleagues and staying abreast of new technologies to enhance skills and knowledge.

Data scientist with over two years of experience and a degree in Aeronautical Engineering, specializing in data engineering and data science projects. Expertise includes utilizing statistical analysis and machine learning methodologies to solve complex problems, with proficiency in tools such as Python, R, Power BI, and SQL. Recent accomplishments involve developing machine learning models for industrial applications, creating ETL tools for carbon emission reporting, and designing management dashboards to improve decision-making processes. Holds multiple certifications in Data Science and relevant technologies, demonstrating a commitment to continuous professional development.