A seasoned professional in product and operations possessing a robust four-year background in agility and product management. Expertise lies in leveraging data and agile methodologies to facilitate decision-making and set priorities effectively. Demonstrates adeptness in collaborating with both national and international teams, with a strong commitment to ensuring project success and thriving in diverse working environments.

Product Manager with eight years of experience in the full product lifecycle, including ideation, development, and delivery, specializing in internal, B2C, and B2B products. Demonstrates expertise in leading data and development teams, with a solid technical background in development and user experience.

Data Analyst specialized in translating complex data into actionable business insights to facilitate informed decision-making. Committed to process automation and continuous improvement, with extensive experience aiding small to medium-sized organizations in developing effective business and product strategies. Proficient in managing projects from inception to completion, with a strong background in data collection and analysis.

Expertise encompasses Data Analysis, ensuring Data Quality, and utilizing tools such as PowerBI, DAX, Tableau, Google Data Studio, Google Analytics, and Google Tag Manager. Adept at managing advertising platforms like Google Ads and Facebook Ads, with a solid foundation in project planning, execution, and market research.

Product Designer (UX/UI) based in Curitiba with over seven years of experience in the digital field, specializing in crafting user-centric solutions through design thinking and user interface design. Proficient in prototyping and adept at facilitating informed design decisions that connect users and businesses. Dedicated to continuous professional development, particularly in design operations and Design Systems, with a goal of becoming a mentor and inspirational figure in the design industry.

Product Manager with eight years of experience in technology sectors, holding a Master's degree in Data Analysis from Arden University, Berlin, and a Bachelor's degree in Engineering from Unifesp. Expertise encompasses the development and refinement of user experiences with a focus on making significant positive impacts. Proficient in creating go-to-market strategies that incorporate product-market fit validation and experimentation with traction channels, alongside data-driven refinement from design and development to monetization. Demonstrated ability to lead teams towards sustainable growth, coordinating employee development to align with organizational objectives. Leadership in various initiatives has led to significant improvements in key performance indicators across multiple organizations.

A seasoned Software Development Professional with over 18 years of expertise in Product and Project Management, proficient in utilizing Agile Frameworks such as SCRUM, Kanban, and Lean. Held significant roles including Delivery Manager, Product Manager, Project Manager, and Product Owner, and managed and executed more than 200 technology projects, encompassing web and mobile systems, startups, e-commerce platforms, marketplaces, digital marketing initiatives, and network infrastructure. This extensive experience includes leading teams of up to 43 individuals for medium to large-scale companies.

Notable clients include entities from diverse sectors such as Hunter Douglas, Danone, Alelo Brasil S.A., Unilever PLC, Eurofarma Laboratórios S.A., Beiersdorf AG, Sanofi S.A., Procter & Gamble Brazil, IBM USA, Mitsubishi Electric Corporation Japan, and Tecumseh Products Company LLC USA. The portfolio also spans significant educational institutions like the University of São Paulo (USP) and the Federal University of São Carlos (UFSCar), in addition to prominent retail and commercial brands such as Iguatemi Empresa de Shopping Centers S.A., Walmart Inc USA, Fast Shop, Polishop Comercial S.A., Netshoes, and Nokia Corporation Finland.

Specialized in Innovation and Entrepreneurship, a career foundation was built in creative roles within the advertising industry, acquiring experience in leading national and multinational companies. Key areas of focus include Digital Products, UX, and Digital Transformation. The approach is characterized by fostering innovation through collaboration and continuously searching for optimal conceptual, technological, and procedural solutions, always with an emphasis on the user journey. Practical and profitable decision-making is prioritized to solve real issues effectively. 

Experience includes leading a creative team in Brazil's largest food sector company, contributing to substantial digital transformation initiatives in the beverage industry, and spearheading significant digital projects in the insurance sector and pharmaceutical logistics.

Data Analyst with over 3 years of experience, specializing in data-driven business operations, strategies, and decision-making with a focus on product enhancement. Expertise encompasses mapping product flow, identifying key efficiency metrics, and translating data into actionable strategies for product improvement. Skilled in managing data pipelines, including determining necessary data sources for performance metrics tracking and implementing and maintaining pipelines using industry best practices from DBT. Technical proficiencies include SQL, DBT, Python, along with comprehensive experience in agile workflow processes, project management, and detailed data analysis and process automation. Competent in implementing data-centered strategies such as AB testing and performance analysis, which guide strategic decisions and enhance conversion rates. Demonstrated ability to lead and complete complex projects using platforms like Jira and Notion, ensuring optimized collaboration, thorough tracking, and timely project delivery.

Azure Machine Learning is a cloud-based service provided by Microsoft that enables data scientists and developers to build, train, deploy, and manage machine learning models efficiently. It offers tools for automating model training, experimentation, and deployment while supporting popular frameworks like TensorFlow and PyTorch. Azure Machine Learning facilitates collaboration and scalability in the machine learning lifecycle.

An Azure Machine Learning expert must have skills in Python and R programming for developing machine learning models. Proficiency in using Azure ML Studio for model training and deployment is essential. Knowledge of data preprocessing, feature engineering, and model evaluation techniques is crucial. Familiarity with cloud computing concepts and experience with integrating Azure services like Azure Data Lake and Azure Databricks are also important. Understanding of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn is necessary for effective model development within the platform.

How to hire a Azure Machine Learning expert

Azure Machine Learning was introduced by Microsoft in 2015 as part of its Azure cloud platform. It was developed to provide a comprehensive suite of tools for building, training, and deploying machine learning models in the cloud. The service aimed to simplify the machine learning process for businesses and developers, offering scalability and integration with other Azure services to enhance data-driven decision-making.

About Azure Machine Learning

 include its integration with the Azure ecosystem, scalability, and support for a wide range of machine learning frameworks. It offers automated ML capabilities and robust tools for model management and deployment. Weaknesses may involve a steep learning curve for beginners and potentially high costs for extensive usage. Competitors include 

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