A software testing professional with five years of industry experience, possessing significant expertise in quality assurance across all phases of the software development lifecycle. Demonstrates strong proficiency in various tools and technologies, notably Tricentis Tosca, Selenium, Puppeteer, and JavaScript.

Possessing advanced skills in Tricentis Tosca, the individual excels in implementing and optimizing testing processes, enhancing project efficiency and reliability. Their competency in automation testing using tools such as Selenium, Puppeteer, and JUnit, has led to the successful acceleration of software delivery without compromising stability. An adherence to high-quality standards is evidenced by CTFL certification and a proactive approach to addressing quality challenges.

This professional's comprehensive experience includes integrated testing with complex systems such as SAP and Salesforce, ensuring seamless interoperability and functionality. Key contributions to past projects include the development of effective testing strategies that resulted in substantial defect reduction and improved customer satisfaction. Additionally, their involvement in automation projects has markedly increased operational efficiency, leading to faster and safer software deliveries.

Demonstrating a genuine enthusiasm for quality assurance, this professional is keen to engage with like-minded practitioners to discover new opportunities for enhancing quality standards in software development.

A seasoned back-end and front-end developer with a decade of experience in web development, holding a Bachelor's degree in Information Systems, a Postgraduate degree in IT with a focus on IBM Mainframe, and an MBA in IT Governance. Proficiencies encompass Java (versions 8 and 11), PHP (versions 5 and 7), and Python 3, alongside frameworks such as Hibernate, Spring, and Zend Framework for backend development. Front-end expertise includes Angular 6, HTML, CSS, Bootstrap 4, jQuery, JavaScript, and Highcharts. Skilled in database management systems like PostgreSQL, MySQL, and Oracle, with knowledge of Agile methodologies including Scrum and ITIL frameworks. Additionally, possesses cloud computing capabilities, particularly with AWS.

A seasoned professional with over a decade of experience in hardware, software, web development, and audiovisual production. Demonstrates strong expertise in collaborative teamwork, initiative, and effective communication skills. Possesses substantial knowledge in DevOps, Docker, Blockchain, and emerging technologies. Extensive experience in the audiovisual domain, including the capture and editing of audio and video content for television, cinema, and advertising.

A seasoned developer specializing in virtual storefront creation with proficiency in HTML5, CSS3, and JQuery. Skilled in transforming Photoshop designs into functional layouts, with a background in enhancing healthcare systems through innovative solutions and maintenance using ADVPL. Experienced in integrating web portals with primary systems, leveraging Angular, TypeScript, JavaScript, and Git for development. Currently involved in platform development to support local agency processes, utilizing front-end technologies, AWS CodeCommit, and agile methodologies such as Scrum for efficient task management and project execution.

Front-end Developer specializing in VueJs and ReactJS with two years of experience.

A self-taught programmer currently pursuing a degree in Systems Analysis and Development. Possesses a passion for programming, initiated by a collaborative project. Displays a strong capability for embracing challenges and a persistent eagerness to acquire new skills for solving unique problems. Aspires to achieve success in the programming field, demonstrating readiness and enthusiasm for continuous learning and professional advancement.

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.

Experienced Data Analyst with a record of success in Martech, Product Analytics, Customer Analytics, and Data Product Development. Demonstrated ability to deliver high-quality data solutions within both startup environments and established enterprises in LATAM and Europe. Proficient in the Python ecosystem, including FastAPI, Pandas, seaborn, flask, streamlit, Matplotlib, Scikit-learn, and Keras. Adept at developing data products using cloud technologies such as Azure Data Factory, AWS Redshift & Glue, and GCP Dataproc & Big Query. Skilled in data orchestration and transformations with tools like DBT, Great Expectations, and Apache Airflow, alongside experience in CI/CD environments with GitHub, GitLab, Confluence, and Jira. 

Proven expertise in programming, refactoring, and debugging. Experienced in working remotely within agile teams, possessing a proactive attitude and strong teamwork capabilities. Dedicated to designing data products that are high in quality, scalable, and impactful. Self-taught and curious, with a history of contributing to the transformation and growth of startups while generating value in larger companies.

An avid long-range cyclist, exploring the synergy between technology and cycling, and a gaming enthusiast, particularly interested in immersive gaming experiences.

DataRobot is an AI-driven platform designed to automate the end-to-end process of building, deploying, and managing machine learning models. It helps organizations leverage data to make better decisions by providing tools for data preparation, model training, evaluation, and deployment, enabling users to implement predictive analytics with minimal manual intervention.

A DataRobot expert must have skills in data analysis, machine learning, and Python programming. Proficiency in using DataRobot's platform for data preparation, model training, evaluation, and deployment is essential. Familiarity with SQL for data manipulation and experience with APIs for integrating models into applications are also important.

How to hire a Datarobot expert

DataRobot was founded in 2012 to democratize access to machine learning and AI. The platform aimed to automate the complex processes involved in building and deploying predictive models, making advanced analytics more accessible to organizations without extensive data science expertise.

About Datarobot

Strengths of DataRobot include its automation capabilities, ease of use, and comprehensive end-to-end machine learning solutions. Weaknesses may involve high costs and potential limitations in customization for advanced users. Competitors include H2O.ai, Google Cloud AutoML, and Amazon SageMaker.

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