Data Engineer with three years of experience specializing in the energy and financial sectors, complemented by one year of consultancy in Tableau. Expertise includes the utilization of Microsoft Azure cloud infrastructure for ETL/ELT processes, leveraging tools such as Python, Spark, SQL Server, Azure Synapse, Azure Data Factory, Databricks, and Pyspark. Proficient in constructing data lake architectures within the Azure Cloud environment and adept at developing and maintaining seamless data pipelines. Demonstrated capability in performance tuning for optimization, managing CI/CD processes using Git Actions, and a thorough understanding of both Agile Scrum and Waterfall methodologies. Skilled in data visualization tools, including Tableau and Power BI. Academic credentials include a Bachelor's degree in Information Systems.

Yasmin Huvos, a 25-year-old professional from Brazil, is currently a Data Analyst. Her passion for collaborating with diverse individuals and cultures drives her work. She finds motivation in learning from challenges and consistently seeks opportunities for growth and development in her field.

An experienced professional in business analysis and renewable energy projects excels at leading multifunctional teams and implementing data-driven solutions. Specializing in agile methodologies, project management, and advanced analysis, notable proficiencies include effective team leadership and timely project delivery through the utilization of Agile and Scrum methodologies. The professional demonstrates expertise in data analysis, machine learning, and deep learning algorithms using platforms such as TensorFlow and PyTorch, as well as advanced data modeling, processing, and visualization techniques. Additionally, adeptness in data visualization is showcased through the proficient use of tools like Microsoft Power BI, Tableau, and Streamlit to effectively communicate insights. Skills in cloud computing encompass a broad knowledge of AWS, Azure, Google Cloud, and IBM Watson, which are employed to develop scalable and secure solutions. Fluency in both English and Portuguese is also noted.

A Data Analyst specializing in data collection, organization, and analysis using advanced tools such as Excel, SQL, Pentaho, and Power BI. Possesses a keen ability to identify relevant trends and patterns in data, consistently applying a proactive approach to problem-solving to meet business needs. Demonstrates a strong commitment to collaboration with multidisciplinary teams to discover innovative ideas and deliver valuable insights. Dedicated to continuous improvement by learning from experienced colleagues and staying abreast of new technologies to enhance skills and knowledge.

A data professional with over five years of experience, specializing in the development of effective solutions to business challenges. Exhibiting a strong background in problem-solving and communications, adept at extracting insights from large datasets and translating them into comprehensible information for diverse audiences. Proficiencies include SQL, Excel, BigQuery, and data visualization tools such as Looker Studio and Metabase. Currently engaged in the field of fraud prevention.

Computer Engineering student with an incomplete course of study at the Federal Technological University of Paraná (UTFPR) and currently enrolled in the 5th period of an Information Systems degree at the same institution. Coursework has been augmented by additional studies in PowerBI, React, and Python through online platforms. Also possesses knowledge of the C programming language.

Data Analyst with two years of experience specializing in data cleaning, dashboard construction, and operational results analysis for delivery personnel. Currently enhancing skills in data analysis using Python through advanced coursework. Practical training includes ongoing courses in data analytics. Demonstrates proficiency in SQL and Tableau for daily data analytics tasks. Resides in Osasco - SP with one child.

A seasoned Data Visualization specialist with expertise beginning in 2013, demonstrating a solid foundation through the early use of Excel. In 2017, the focus expanded to the realm of Business Intelligence, encompassing advanced skills in Tableau and Power BI. Known for a problem-solving mindset and a determination to traverse tool limitations or data complexities, ensuring information is rendered visually and accessibly. The core passion lies in transforming raw data into comprehensible insights, enabling informed decision-making for all stakeholders.

Knowi is a business intelligence platform that integrates with various data sources to provide real-time analytics and visualizations. It allows users to create dashboards, run queries, and generate reports without extensive technical expertise, enabling data-driven decision-making.

A Knowi expert must have strong skills in SQL for querying databases, proficiency in data visualization techniques, and experience with integrating various data sources. Knowledge of JavaScript for custom widgets and familiarity with cloud platforms like AWS or Azure are also essential.

How to hire a Knowi expert

Knowi was created to address the need for real-time data analytics and seamless integration with various data sources. It emerged as a solution for businesses seeking to leverage their data without requiring extensive technical skills. The platform enabled users to create dashboards, run queries, and generate reports efficiently, facilitating better decision-making processes.

About Knowi

Strengths of Knowi include real-time data integration, ease of use, and robust visualization capabilities. Weaknesses may involve a learning curve for non-technical users and potential limitations in customization. Competitors include 

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About Knowi

How to hire a Knowi expert

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