Hitachi Vantara

With nine years of experience in data science and four years serving as Head of Data Science, this professional excels in leveraging artificial intelligence, advanced machine learning, and deep learning to tackle complex business challenges. Demonstrated expertise in programming languages such as Python, R, and SQL, coupled with proficiency in data visualization tools like Tableau, Power BI, and Data Studio, empowers the ability to transform raw data into actionable insights. Notable achievements include the development of a predictive credit scoring model and leading data initiatives that enhance strategic decision-making, optimize performance, and drive measurable business outcomes.

With over six years of experience in the IT sector specializing in business and data analysis, this professional has focused primarily on projects involving Business Intelligence (BI) and Big Data. Key competencies include requirement gathering, screen prototyping, ETL processes, database management and modeling, and dashboard creation. These skills have consistently been leveraged to deliver substantial value to client businesses in the domains of BI and Big Data.

A seasoned Data Engineer/Architect with 15 years of IT experience, including a decade in Business Intelligence (BI), Data Analytics, and Data Engineering. Educational background includes a degree in Information Systems from Anhembi Morumbi University and a postgraduate degree in Big Data (Data Science) from FIAP. Currently positioned as a Senior Data Engineer/Specialist, responsible for leading technical project aspects focused on Data & Analytics, Data Migration, Data Governance, and BI. Committed to delivering efficient, scalable, and reusable solutions adhering to industry best practices, facilitating companies in achieving goals and deriving insights through reliable data analysis, key performance indicators, and business-aligned metrics.

Proficiency encompasses over ten years in Data Analytics and ETL processes, comprehensive expertise in relational databases, and eight years with BI tools. Possesses over four years of experience in data engineering and cloud data platforms, with advanced capabilities in Spark and Python, and significant experience in non-relational databases, CI/CD tools, and IaaS platforms. Well-versed in AWS and Azure services for Big Data and Data Analytics.

Technological expertise covers a broad range of tools and platforms, including Alteryx, SSIS, SQL Server, Oracle, Hadoop, Spark (Python), Apache NiFi, Kafka, Airflow, and Microsoft Azure services like Data Lake Storage, Functions, and Synapse Analytics. Competent in AWS services including Athena, DynamoDB, EC2, EMR, Glue, IAM, Kinesis, Lambda, RDS, Redshift, SDLF, SQS, S3, and VPC. Proficient with BI tools such as QlikView, PowerBI, and Tableau, and IaaS solutions like Terraform. Experienced with CI/CD systems including GitHub and Azure DevOps. Dedicated to aiding organizations in improved data governance and fostering a culture that drives innovation through informed decision-making processes, ensuring secure storage and transportation of information.

Data Analysis Specialist with expertise in collaborative team environments and a background in documentation development and prototyping. Possesses proficiency in a variety of data analysis tools, such as Tableau, Qlik Sense, Qlik View, Google Analytics (GA3 and GA4), Google Tag Manager, Big Query, and Looker Studio. Demonstrates a strong understanding of Firebase, MySQL, PostgreSQL, and Android Studio.

An experienced data enthusiast with a strong aptitude for uncovering insights within numerical data, demonstrating proficiency in tools such as Tableau and SQL. Possesses a robust ability to transform raw data into compelling visual narratives that drive strategic decision-making. Adept at identifying patterns and revealing growth opportunities, leveraging expertise in creating dynamic dashboards and executing efficient SQL queries to extract valuable insights. Excels in clear communication, capable of translating complex data sets into accessible narratives that empower teams to make informed decisions. Dedicated to transforming data into actionable insights and advancing the field of analytics.

Data Scientist holding a Bachelor's degree in Physics and a degree in Industrial Automation, specializing in SQL databases, Google Cloud Platform, Tableau, Power BI, and primarily Python. Engages in the application of artificial intelligence techniques, statistical analysis, and machine learning to develop and maintain predictive and optimization models for resolving business challenges, from data extraction to production deployment. Possesses extensive experience in dashboard creation and task automation within data and analytics teams.

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.

A dedicated professional specializing in Data Analysis, with a diverse background spanning sectors such as healthcare and services. Currently serving as a Supply Analyst and Key User of SAP MM, responsible for managing the integration and application of the Materials Management module with hospital management systems, effectively optimizing processes and enhancing operational efficiency. Beginning a career in inventory management at ArcelorMittal, this individual developed strong material management and inventory control skills. Further experience at SEBRAE involved implementing performance indicators for training programs, while tenure at Chevrolet honed sales techniques and client relationship skills. At Kora Saúde, transitioned from Administrative Assistant to Supply Analyst, leveraging Business Intelligence (BI) tools to automate tasks and establish interactive dashboards for monitoring resource consumption across hospital networks. The implementation of a data warehouse and ETL processes transformed decision-making, enabling real-time insights that significantly improved processes. Committed to continuous skill enhancement, the focus remains on driving efficiency and innovation in supply management and data analysis.