Experienced in leveraging advanced technologies, including Java 17, Kotlin, Spring Boot, Spring Data JPA, BDD, Mockito, Junit, Docker, Kubernetes, Kafka, RabbitMQ, and Postgres, for specialized applications. Developed comprehensive queries for tax and credit regulatory bodies to enhance the loan approval process. Contributed to the creation of a pioneering banking credit analysis system that offers holistic evaluations of financial profiles for individuals and legal entities. Implemented advanced financial modules, analytical reports, legal management tools, and managerial tools specifically designed to address the requirements of the judicial sector.

Full-Stack Developer specializing in Back-end development with extensive experience in programming languages including Kotlin, PHP, and JavaScript.

A seasoned software engineer with a robust history in crafting advanced software solutions. Proficiencies encompass a diverse range of programming languages such as Python, Java, and C++. Demonstrates a keen aptitude for problem-solving and critical analysis, capable of architecting and executing intricate system designs. Possesses a comprehensive background in front-end and back-end development, guaranteeing cohesive integration and optimized functionality. Dedicated to continual professional development, maintaining current knowledge of emerging technologies to enhance efficiency and elevate the standard of software development undertakings.

A FullStack Developer with four years of experience specializes in Angular and .net, adept in both front-end and back-end development. Proficient in architecting comprehensive applications across various layers of the technology stack. Exhibits robust teamwork capabilities, coupled with a dedication to knowledge sharing and continuous learning. Ready to make substantive contributions to a development team.

Python developer with two years of experience, specializing in the Odoo ecosystem. Skills include customizing modules and implementing efficient business processes, with particular expertise in Odoo development and web scraping for data extraction. Proficient in rapid development methodologies, ensuring timely delivery of robust solutions, and adept at using tools like Jira and Trello for project management and collaboration. Highly committed to leveraging technical vision and practical experience in Python, Odoo, agile development methodologies, and collaborative efforts on GitHub to contribute to the success of projects.

Holding a Bachelor's degree in Mathematics from UFES (2011) and earning both a Master's and a PhD in Computational Modeling from UFJF (2014 and 2018), this professional has considerable experience in academic research, including a tenure at LAMEMO/COPPE/PEC/UFRJ between 2018 and 2020. Additionally, the individual has served as a substitute professor in the computer science department at UFSJ. Their technical expertise encompasses backend and data development, with a robust proficiency in numerical methods, applied mathematics, and various programming languages and tools such as Fortran, Python, Pandas, SQLAlchemy, SQL, JavaScript, and React.

Data Scientist specializing in Fake News Detection research through the application of Python and Machine Learning methodologies. Proficient in frameworks and technologies such as Django, Node.js, Angular, Java, Oracle Database, and MySQL. Currently serves on a Fraud Detection team, responsible for constructing machine learning models and conducting analysis to prevent banking fraud.

A seasoned professional with a dual academic foundation in Computer Science (since 1999) and Marketing Management (since 2005), supplemented by specialized training in people and project management, development methodologies, and industry best practices. Over a span of more than 20 years, extensive experience has been accumulated in both front-end and back-end development. Proficient in programming languages including PHP and JavaScript, and familiar with libraries like jQuery. Possesses advanced knowledge in handling various database systems, such as MySQL, PostgreSQL, and SQL Server, as well as expertise in using version control tools like Git. Well-versed in Agile methodologies, specifically in implementing Scrum and Kanban frameworks.

The Riskpoynt Barrier Model is a risk management tool designed to identify, assess, and mitigate potential hazards in industrial operations. It provides a visual representation of safety barriers and their effectiveness in preventing accidents, helping organizations enhance operational safety and compliance by systematically managing risks.

A Riskpoynt Barrier Model expert must have strong proficiency in risk assessment methodologies, familiarity with industrial safety standards, and expertise in using risk modeling software. They should also possess skills in data analysis, hazard identification, and mitigation planning to effectively implement and manage the model.

How to hire a Riskpoynt Barrier Model expert

The Riskpoynt Barrier Model was developed to address the need for a more structured approach to risk management in industrial settings. It aimed to improve safety by visually representing the effectiveness of safety barriers. The model provided a systematic way to identify and mitigate potential hazards, enhancing operational safety and compliance.

About Riskpoynt Barrier Model

Strengths of the Riskpoynt Barrier Model included its visual representation of safety barriers, which facilitated easier identification and mitigation of risks. Weaknesses involved potential over-reliance on the model without considering dynamic operational changes. Competitors included BowtieXP and PHA-Pro, which also offered comprehensive risk assessment and management tools.

Riskpoynt Barrier Model

Top 5*

Risk Management

About Riskpoynt Barrier Model

How to hire a Riskpoynt Barrier Model expert

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