Neo4j

An eternal student constantly engaged in updating knowledge within the data universe, driven by an investigative curiosity and problem-solving capabilities. The collective search for solutions is highly valued, with a strong belief in the power of teamwork. However, there is also a commitment to contributing considerations and potential solutions to streamline and enhance the resolution process.

With a foundational passion for mathematics and a technical background in computer science, this candidate specializes in data science and operational research, aiming to generate significant value for clients. Currently pursuing a degree in Computer Engineering, their professional trajectory includes experience as a Data Scientist at LogComex, where they successfully migrated and automated legacy data pipelines, developed predictive regression models, and enhanced logistical efficiencies through advanced graph modeling. Previously at IBM, they analyzed customer behavior via graph theory, scraped web data for financial insights, and implemented real-time monitoring systems for safety improvements. Their academic pursuits are complemented by certifications in data science and educational contributions, demonstrating a commitment to excellence and continuous learning in the field.

A seasoned Javascript Developer with three years of experience encompassing web, mobile, and embedded system development, particularly with Arduino ESP32. Proficient in user platform development and possesses a deep understanding of JavaScript, encompassing structural, object-oriented, and functional programming paradigms. Demonstrates a keen interest in infrastructure, parallelism and concurrency concepts, alongside a solid grasp of TDD (Test-Driven Development), BDD (Behavior-Driven Development), and DOM (Document Object Model).

System Analyst and IT professional specializing in Back End Development, with extensive experience in designing, analyzing, and implementing information systems to enhance business processes. Proficiency in programming languages such as Java, Python, and C#, as well as database management systems including SQL Server and MongoDB, supports the development of scalable and secure backend solutions for complex web applications. Possessing strong analytical skills, the ability to work efficiently both independently and collaboratively is consistently demonstrated.

Leandro is a Senior Product/Project Manager. He is experienced in product development and user-centered design and is a certified Lean Inception Trainer and Design Sprint facilitator.

Senior Data Engineering Consultant and Data Architect, with expertise in Data Lake solutions, Lambda Architecture, and Fast Data across cloud platforms such as AWS, Google Cloud, and Microsoft Azure. Holds a Master's degree in Big Data and possesses extensive experience in areas including Business Intelligence, Data Warehousing, NoSQL databases, analytics, machine learning, and graph solutions.

Holding a Bachelor’s degree in Computer Science and a Master’s degree in Informatics from the Federal University of Paraná (UFPR), the candidate specializes in Natural Language Processing and Graph Representation Learning, as highlighted in their master's research. Further details on their projects and contributions are available on their GitHub profile, and their academic achievements and publications are documented on their Lattes CV.

Software Developer with a substantial career beginning in 2013, initially sparked by a Java course that progressed into a foundational internship. Pursued an academic foundation in System Analysis and Development at UTFPR, which facilitated a comprehensive understanding of both back-end and front-end technologies. Currently, work involves the maintenance and development of the JPe system utilizing Java, as well as the migration to the eProc system using PHP, within the Tribunal de Justiça de Minas Gerais (TJMG).