Specializing in developing robust solutions with Python, expertise is evident in frameworks such as Flask, FastAPI, and Django, alongside comprehensive skills in database management systems like MongoDB, MariaDB, PostgreSQL, and DB2. Proficiency in Docker and Kubernetes for containerization technologies and experience on the OpenShift platform enhances the ability to efficiently manage container applications, incorporating robust continuous integration and delivery (CI/CD).

With an academic background in Electrical Engineering from the University of Araraquara and ongoing studies in Data Science at UNIVESP, the skillset includes the application of Continuous Integration (CI) and Continuous Delivery (CD) practices using Jenkins for workflow automation. There is significant competency in inter-service communication through RabbitMQ and extensive experience with data ETL processes utilizing IBM DataStage.

Involvement in Artificial Intelligence and Machine Learning projects demonstrates the use of libraries such as numpy, pandas, and sklearn, as well as frameworks including TensorFlow, Keras, Yolo, OpenCV, Tesseract, and Paddle to develop innovative data-driven solutions. Additionally, translating complex insights into accessible information involves creating interactive dashboards with Tableau and Power BI to facilitate data-based decision-making.

A technology innovation enthusiast with a passion for new challenges, this professional aims to apply advanced technical knowledge and collaborate with teams to drive success in transformative projects.

Graduated from the Air Cadet Preparatory School (EPCAr) and subsequently from the Air Force Academy (AFA), followed by earning a Bachelor's degree in Administration from CEFET. Initiated a professional career as an intern and advanced to a role as a process analyst, utilizing tools such as Orquestra BPMS and Zeev BPMS to develop workflows, automate processes, and implement systems for clients. This position underscored the critical role of data in analyzing and enhancing sector performance, prompting further education in Data Analytics with an emphasis on Power BI. The drive to improve client services led to acquiring programming skills for tailored form creation. Transitioned to a data-focused role, leveraging extensive expertise with enterprise tools to lead projects, deliver Tableau training sessions, and create customized dashboards for clients.

Information Technology professional specialized in Data Analysis, currently progressing towards an MBA in Big Data and Competitive Intelligence and holding a postgraduate degree in Data Analysis. Serving as a Data Analyst with a seven-year background as a Business Intelligence (BI) Analyst, the expertise includes developing predictive, prescriptive, descriptive, and diagnostic analyses, alongside KPI indicators. Proficient in various visualization tools such as Power BI, QlikSense, MetaBase, Looker, and Tableau, dashboards and reports are effectively published to facilitate decision-making for stakeholders and the commercial team.

A technologist in Managerial Processes from UNIP, with over seven years of experience as a Business Intelligence and Marketing Analyst. Demonstrates a rapid learning capability and a continuous pursuit of new knowledge. Characterized by communicative and participatory leadership skills, combined with spontaneity and motivation in professional duties. Known for dynamism, proactivity, and the ability to foster team harmony while upholding high service quality standards. Proficient in various stages of BI project management, including analysis and development, which enhances the agility and reliability of information delivery to strategic areas. Exhibits a strong capacity for understanding, structuring, and planning demands. Also, provides support through training and disseminating knowledge on processes, routines, and tools.

Jehzeel brings seven years of experience in data analysis. She is proficient in SQL, Python, Tableau, Looker, PowerBI, and many others.

Data Analyst specializing in business intelligence, currently engaged in a degree program in Data Science with a focus on Machine Learning and Deep Learning, aimed at leveraging data for strategic decision-making and business performance enhancement. Key competencies encompass proficiency in English at a B1 level with a comprehensive understanding of technical terminology, as well as extensive experience in utilizing Power BI for creating visually compelling and insightful data presentations. Expertise in Excel includes leveraging advanced features for efficient data analysis and reporting. Proficient in Python along with essential libraries pertinent to data science and machine learning, facilitating the development of customized, advanced analysis solutions. Exhibits strong analytical thinking and problem-solving skills, capable of extracting significant insights from complex datasets. Committed to continuous professional development and staying current with the latest advances in data analysis and machine learning.

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.

A Data Engineer with four years of experience in Engineering and Data Analysis, specializing in converting data into actionable insights across various business domains such as Sales, Finance, Marketing, Customer Success, Governance, and Product. Expertise spans the entire data lifecycle, including extraction, preparation, analysis, and providing recommendations to inform business decisions.

Proficient in designing data pipelines utilizing Python (PySpark) and SQL on Databricks for data ingestion and transformation, along with implementing Big Data solutions on Delta Lake, Data Lake, and Data Warehouse on Azure and AWS cloud platforms. Experienced in developing ETL pipeline routines using Data Factory, custom Python scripts, AWS Lambda, and Airflow, and adept at integrating data from multiple sources like APIs, relational databases (PostgresSQL, MySQL, Oracle, SQL Server, MariaDB, Cassandra), and storage solutions (Azure Data Lake Gen 2, S3). Additionally, proficient in handling various file formats such as Parquet, Delta, CSV, Excel, and JSON.

Demonstrated capability in data analysis, crafting queries in PySpark and SQL to generate reports and dashboards using tools like PowerBI, Tableau, Metabase, and Streamlit. Well-versed in data contracts and versioning scripts within DevOps CI/CD pipelines, and experienced in agile Scrum methodologies within collaborative squad environments.

Other technical proficiencies include Git, Docker, with foundational knowledge of Kubernetes (K8), Terraform, and Jenkins.

Reveal (By Infragistics) is a business intelligence tool that enables users to create, view, and share data visualizations and dashboards. It provides an intuitive interface for data analysis, allowing users to connect to various data sources, perform real-time analytics, and generate insights to support decision-making processes.

A Reveal expert must possess skills in data visualization, dashboard creation, and data integration. Proficiency in working with various data sources, understanding of real-time analytics, and experience with SQL for querying databases are essential. Knowledge of API integrations and familiarity with cloud services can also be beneficial.

How to hire a Reveal (By Infragistics) expert

Reveal (By Infragistics) was developed as a business intelligence solution to address the need for accessible and user-friendly data analytics tools. It aimed to empower users across different industries to easily create and share interactive dashboards and visualizations. The platform was designed to simplify data analysis, making it more approachable for non-technical users.

About Reveal (By Infragistics)

Reveal's strengths include its user-friendly interface, real-time data analytics, and seamless integration with various data sources. Weaknesses may involve limited advanced analytics features compared to some competitors. Competitors include Tableau, Power BI, and Qlik Sense.

Reveal (By Infragistics)

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About Reveal (By Infragistics)

How to hire a Reveal (By Infragistics) expert

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