A Web Developer with extensive expertise in JavaScript, TypeScript, and Go utilized for the creation of diverse web applications, REST API integrations, and mobile applications. Demonstrates a strong commitment to best development practices, including Test-Driven Development (TDD), and focuses on building scalable solutions.

Full-stack Developer with a robust foundation in front-end and mobile development, specializing in the Ionic framework. Achieved third place in the International Conference on Software Engineering as part of a collaborative team effort. Possesses extensive experience in Agile methodologies, particularly Scrum. Accumulated two years of experience as a Java Development Intern within a finance department, eventually transitioning into a full-stack developer role. Currently concentrating on advancing data science skills, with proficiency in Python and R.

A Computer Technician holding a degree from IFAL and currently pursuing a degree in Information Systems at UFAL, has a robust background in development gained through active participation in various research groups. From July 2018 to November 2019, contributed as a developer in a research group focused on social technologies, utilizing ReactJS and NodeJS. Since November 2019, has been involved with a research group dedicated to advanced studies in data science and software engineering, working extensively with ReactJS, Python, and Blockchain technologies. Possesses strong skills in computing, with significant experience in development utilizing Python, JavaScript, NodeJS, ExpressJS, ReactJS, Object-Relational Mapping (ORM), and code versioning systems.

A seasoned technology professional with extensive experience primarily in web technologies and the related ecosystem, as well as in developing automation solutions. An engaged member of the Python community, contributing through active participation, support, and authorship.

With extensive expertise spanning 23 years in the IT sector, the professional background includes a robust foundation of 8 years focusing on hardware and network management, complemented by 15 years dedicated to software development. Proficient in Dot.net C#, VB.net, Java, and JavaScript, the experience also encompasses working on projects involving Python, Dart, Node.js, .NET Core, WordPress, and React Native. The last 8 years were marked by a strong adherence to Agile methodologies, with a specialization in requirement gathering, architecture support, API engineering, messaging services, and the development of web applications and systems. The primary focus has consistently been on delivering solutions that enhance value and quality within technology-driven environments.

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.

Experienced Customer Support Specialist with extensive tenure in serving the Santa Catarina region. Subsequently assumed the role of Systems Analyst, concentrating on the planning and implementation of system enhancements. Later progressed to the position of Developer, executing a diverse array of projects across varying scales.

Doctorate in Mechanical Engineering specializing in simulator development using C++ during doctoral research. This research initiated a career transition towards Python programming with a concentration on Data Science and Machine Learning, starting in 2020. The analytical skills developed through extensive academic training have been instrumental in excelling within this domain.

JMP (SAS) is a statistical software suite designed for data analysis, visualization, and predictive modeling. It allows users to explore data interactively, perform advanced statistical analyses, and create detailed graphical representations to uncover insights and inform decision-making.

A JMP (SAS) expert must have strong skills in statistical analysis, data visualization, and predictive modeling. Proficiency in scripting with JSL (JMP Scripting Language) is essential. Knowledge of experimental design and data manipulation techniques is also crucial.

How to hire a Jmp (Sas) expert

JMP (SAS) was created in 1989 by SAS Institute to address the need for interactive data analysis and visualization. It was developed to help scientists, engineers, and researchers perform complex statistical analyses more efficiently and intuitively.

About Jmp (Sas)

Strengths of JMP (SAS) included its powerful data visualization capabilities, user-friendly interface, and robust statistical analysis tools. Weaknesses involved its high cost and steep learning curve for beginners. Competitors included IBM SPSS, Minitab, and R.

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