Bruna Frade Email & Phone Number

Curitiba, Parana, Brazil

As a Data Scientist, my primary focus is to create models and develop analyses aimed at improving the quality of advertisements on marketplaces. My work combines SEO techniques and Machine Learning algorithms to ensure that ads are effective and appealing to consumers.I employ advanced Natural Language Processing (NLP) techniques to analyze and enhance the textual content of ads, making sure the right keywords are used and the message is clear and concise. This approach helps maximize ad visibility and increase conversion rates.Regarding image quality and similarity, I apply Computer Vision algorithms to assess the sharpness, lighting, and composition of photos, as well as to identify potential duplicates or inappropriate content. This ensures that ads feature high-quality, relevant images, improving user experience and platform reliability.In summary, my work as a Data Scientist involves leveraging SEO techniques, Machine Learning, NLP, and Computer Vision to optimize the quality and effectiveness of advertisements on marketplaces, thereby contributing to the success of businesses and the satisfaction of their customers.

Curitiba, Brazil

As a Data Scientist working for a third-party company specializing in marketplaces, my primary focus is to create models and develop analyses aimed at improving the quality of advertisements on these platforms. My work combines the development of Machine Learning and Computer Vision models applied to marketplace scenarios.Regarding image quality and similarity, I apply Computer Vision algorithms to assess the sharpness, lighting, and composition of photos, as well as to identify potential duplicates or inappropriate content. This ensures that ads feature high-quality, relevant images, improving user experience and platform reliability.In addition, I work on developing and implementing Machine Learning models to generate ad scores, enabling the identification and prioritization of high-quality, high-performing ads. This approach helps maximize ad visibility and increase conversion rates.A crucial aspect of my job involves presenting and negotiating with stakeholders, ensuring that their needs and expectations are met and aligned with the company's objectives. This includes clearly communicating analysis results and discussing potential improvements or adjustments in the models and strategies adopted.In summary, my work as a Data Scientist for a third-party company in the marketplace sector involves the development and application of Machine Learning and Computer Vision models, presenting and negotiating with stakeholders, and generating scores to optimize the quality and effectiveness of ads, thereby contributing to the success of businesses and the satisfaction of their customers.

Belo Horizonte

As a remote Postgraduate Professor for the course "Introduction to Natural Language Processing and Application in Image Recognition," my primary responsibilities encompassed designing and delivering high-quality content, ensuring an effective and engaging learning experience for students.Among my duties, I developed course materials and created presentation slides, making sure the instructional content was clear, concise, and up-to-date with the latest trends and advancements in the field of Natural Language Processing and Image Recognition.In addition, I recorded lectures and conducted real-time classes, adapting my teaching approach to meet the needs and demands of a remote learning environment. I always strived to make the classes interactive and stimulating, encouraging active participation from students and fostering meaningful discussions on the topics covered.I was also responsible for addressing students' questions and concerns, both during classes and through dedicated communication channels, such as forums and emails. My goal was to provide consistent and effective support, ensuring that students fully understood the concepts presented.Lastly, I designed and graded assignments and assessments, ensuring that students had the opportunity to apply their knowledge in a practical manner and receive constructive feedback on their performance and progress throughout the course.In summary, as a remote Postgraduate Professor, my role involved preparing and delivering lectures on Natural Language Processing and Image Recognition, providing support to students, and evaluating and offering feedback on their work and performance during the course.

Rio De Janeiro, Brazil

As a Data Scientist at a telecommunications giant, my primary responsibilities encompassed the development of machine learning models, such as regression, classification, and clustering, applied to a wide range of topics and areas, including marketing, retention, and profitability.Among my duties, I analyzed large datasets and identified patterns and trends that assisted in making strategic decisions for the company. Using advanced machine learning techniques, I designed and implemented customized solutions aimed at optimizing processes, increasing profitability, and improving customer retention.Working closely with multidisciplinary teams, I communicated the results of the analyses and presented recommendations for specific actions based on the insights generated by the developed models. Additionally, I was responsible for monitoring and evaluating the effectiveness of the implemented solutions, adjusting the models as needed to ensure maximum performance and positive impact on the business.I also contributed to promoting a data-driven culture within the company, sharing knowledge and best practices with colleagues and collaborators, and providing guidance and support on matters related to data analysis and machine learning.In summary, as a Data Scientist at a large telecommunications company, my responsibilities involved developing and applying machine learning models across various areas, such as marketing, retention, and profitability, contributing to the success of the company and the satisfaction of its customers.

Belo Horizonte, Brazil

As a Data Scientist at PolsecAI, a company specializing in surveillance solutions, my primary responsibilities involved the development of advanced computer vision and deep learning models applied to various security and monitoring situations.Among my duties, I created algorithms and models for applications such as facial recognition, mask detection, identification of armed individuals, tracking vehicles and people, and object detection. These solutions aimed to improve the efficiency and accuracy of surveillance systems and increase security in public and private settings.Working closely with engineering and development teams, I assisted in integrating these models into existing and new surveillance systems, ensuring that the algorithms functioned efficiently and accurately in different scenarios and conditions.I was also responsible for monitoring the performance and accuracy of the developed models, adjusting and refining them as needed to meet the specific requirements of each application and ensuring that surveillance solutions provided reliable and real-time results.Additionally, I contributed to the research and development of new techniques and approaches in computer vision and deep learning, staying up-to-date on the latest trends and advancements in the field, and applying this knowledge to continuously improve the solutions offered by PolsecAI.In summary, as a Data Scientist at PolsecAI, my responsibilities involved developing and applying computer vision and deep learning models focused on surveillance, contributing to enhancing the efficiency and accuracy of monitoring systems and increasing security in various environments.

Belo Horizonte, Brazil

As a CNPq Researcher in a project developed in partnership with the VALE company, I worked on creating a teleoperation system for heavy vehicles in mining environments. The system consisted of three main modules, each performing a specific function to ensure the efficiency and safety of the vehicles' operation.The first module, focused on virtual reality, aimed to ensure the immersion of the operator by utilizing advanced virtual reality and computer vision concepts. I developed techniques and approaches that provided a realistic immersive experience, allowing the operator to control the vehicle remotely in an efficient and intuitive manner.The second module, responsible for the intelligent and responsive operation of the robot, involved the application of robotics knowledge. I worked on creating algorithms and control systems that allowed the robot to react quickly and accurately to the operator's commands, ensuring the safety and efficiency of mining environment operations.The third module, called the network module, ensured communication between the immersive environment and the remote robot. I developed robust and reliable solutions for data transmission between the modules, ensuring that the operator's commands were transmitted efficiently and with low latency, enabling effective remote control of the heavy vehicle.In summary, as a CNPq Researcher in the project with the VALE company, I participated in the development of a teleoperation system for heavy vehicles in mining environments, working with virtual reality, robotics, and network communication, in order to guarantee safe, efficient, and immersive operation of vehicles in challenging settings.

I worked with classical computer vision techniques to develop a solution for change detection in vegetation images acquired by a camera mounted on a helicopter. The project was carried out for Petrobras, aiming to detect irregular construction/invasion in the company's pipeline areas.

Master Degree, Compute Vision And Machine Learning

Bachelor'S Degree, Information Systems