A professional Web Developer with foundational training in web development since 2020, transitioning into a freelance career in 2021. Expertise encompasses the development of landing pages and websites, with proficient skills in JavaScript, Node.js, React.js, RESTful APIs, SQL, and Kanban methodologies. Presently focusing on enhancing competencies in TypeScript, Nest.js, Nuxt.js, and Docker.

Back-end Developer with over three years of experience specializing in Java, primarily focusing on API REST applications utilized by microservices and a front-end application. Demonstrates a robust understanding of front-end technologies, with expertise in Javascript, AngularJS, and Angular 6.

Front End Developer proficient in JavaScript, HTML, CSS, and React, with additional expertise in unit testing utilizing Jest and Enzyme. Demonstrates experience in Agile methodologies, specifically Scrum, and excels in team collaboration. Possesses strong skills in direct client communication, developed through roles in technical support and telecommunications.

A Fullstack Developer with expertise in web and mobile development, as well as infrastructure. Demonstrates proficiency in functional programming and object-oriented programming, with specialized skills in React, React Native, Ionic, Angular, Node.js, NestJS, JavaScript, and TypeScript.

Full Stack Developer specializing in Front End development with over four years of experience. Expertise lies in the creation of web applications and VBA for Excel, with a strong conviction that dedication and effort can overcome any challenge.

As a Systems Analyst and Developer with a degree in Information Systems, I have crafted solutions for a variety of platforms, including Web, Mobile, and Desktop. My expertise extends to the development of 3D solutions, particularly tailored for the furniture industry. Additionally, I have devised systems for a range of applications such as sales force automation, helpdesk management, pharmaceutical services, ISPs, warehouse management, digital processing, marketing, mobile technology, augmented reality, and embedded software. I am also the founder and organizer of GDG Serra Gaúcha, a professional group focused on enhancing the IT ecosystem.

With over three years of experience in web development and expertise in testing using Cypress, the professional background includes a current focus on UX research. Active participation in the local IT community includes organizing initiatives to encourage women in the technology sector. Collaboration and continuous learning are pivotal elements of the professional ethos, reflecting a strong curiosity and a commitment to knowledge sharing.

Computer Science graduate with a specialization in Artificial Intelligence and extensive experience in software development, engineering, and technology instruction. Currently holds the position of Mid-Level Backend Developer within a Data Science unit at a Fintech company. Proficient in programming languages such as Python, C++, Java, and JavaScript, and well-versed in utilizing technologies that include messaging systems, SQL, NoSQL, software architecture, design patterns, and cloud computing. Adopts a flexible approach to technology selection, recognizing that each tool offers distinct benefits and drawbacks depending on specific scenarios, and remains open to backend development opportunities across various sectors.

NCL (NCAR Command Language) is a scripting language designed for scientific data processing and visualization, particularly in the atmospheric and oceanic sciences. It provides robust functions for reading, writing, and manipulating data formats like netCDF, GRIB, and HDF, as well as advanced graphics capabilities to create high-quality visualizations of data.

An NCL expert must have strong skills in scripting and data manipulation within the NCL environment, proficiency in handling scientific data formats such as netCDF, GRIB, and HDF, and expertise in creating advanced visualizations. Knowledge of atmospheric and oceanic science data is also essential to effectively utilize NCL's specialized functions.

How to hire a Ncl expert

NCL was created in 1995 by the National Center for Atmospheric Research (NCAR) to address the need for a specialized language that could handle complex scientific data and provide high-quality visualizations. It was developed to support researchers in atmospheric and oceanic sciences by offering tools for data analysis and visualization, which were not adequately provided by existing software at the time.

About Ncl

Strengths of NCL included its powerful data processing capabilities, extensive support for scientific data formats, and advanced visualization features tailored for atmospheric and oceanic sciences. Weaknesses involved a steep learning curve and limited general-purpose programming features. Competitors included Python libraries like Matplotlib, Pandas, and Xarray, which offered more versatile programming capabilities and broader community support.

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How to hire a Ncl expert

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