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.

Dashboard Developer and KPI Analyst specializing in the identification of opportunities and the resolution of issues to enhance product and service impact. Proficient in the continuous improvement of existing systems to boost productivity. Experienced in collaborating with cross-functional project stakeholders, comprehending their needs, and aligning expectations across varied domains.

A Data Engineer with robust expertise in Data Warehousing, Business Intelligence, and SQL tuning, complemented by a background in Project Management and Agile Management (Scrum). Proficient in SQL Server databases and skilled in SQL tuning, as well as in executing ETL processes using SSIS and SQL scripts. Experienced in leveraging BI tools such as Power BI and Tableau to drive data-driven decision-making.

An experienced Senior Data Engineer with expertise in designing and implementing scalable and reliable data systems and pipelines, leveraging a background that includes significant collaboration with Data Science teams to deliver robust insights and solutions. Demonstrates proficiency in Python, SQL, and Big Query, alongside data visualization and reporting tools such as Metabase, Looker Studio, and Power BI. Promoted a data-driven culture using the CRISP-DM methodology to enhance products and processes.

As the founder of a data analytics enterprise, offered innovative solutions in data analytics and sales forecasting utilizing Python, Deta Space, and FastAPI. Expertise encompassed data extraction, advanced analytics, and machine learning algorithms, assisting businesses in making informed decisions, optimizing operational efficiency, and boosting sales. Delivered customized recommendations improving customer loyalty and shopping experience, driven by a passion for creating value and impact through data. Consistently engaged in tackling new challenges and acquiring new skills.

Professional with six years of experience in Human Resources, encompassing roles in multinational companies across various sectors, including Retail, Wellness, and Finance. Held positions as an HR Business Partner and in Senior People Analytics, focusing on supporting HR leaders in data collection and analysis to inform business decisions and solutions.

Possesses extensive expertise in leveraging data-driven insights to formulate HR strategies, automate processes, enhance employee engagement, and optimize workforce performance through advanced analytics tools such as BI, Excel, and Python. Adept at utilizing these tools to address complex HR challenges.

A passionate advocate for fostering a data-informed and data-driven culture, with a commitment to having a positive organizational impact by standardizing descriptive, quantitative, and predictive analysis to support leadership.

Graduate in Business Administration and Systems Analysis with seven years of experience in data generation and information provision, currently serving as a data specialist within the MIS team. Pursuing an MBA in Big Data, the professional has substantial expertise in SQL Transact using both Oracle and SQL Server. Proficient in developing ETLs with SSIS and Pentaho, and experienced in Data Visualization using PowerBI and Tableau. Additionally, possesses some familiarity with Alteryx, SAS, PowerCenter, Qlikview, and SPSS Modeler.

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.

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.

Inetsoft Style Intelligence is a business intelligence platform that provides data visualization, reporting, and analytics capabilities. It enables users to create interactive dashboards, perform ad hoc analysis, and generate detailed reports from various data sources to support informed decision-making.

An Inetsoft Style Intelligence expert must have strong skills in data integration, SQL, and database management. Proficiency in creating and customizing dashboards, reports, and data visualizations is essential. Knowledge of JavaScript for advanced customization and experience with various data sources such as APIs, cloud services, and relational databases are also important.

How to hire a Inetsoft Style Intelligence expert

Inetsoft Style Intelligence was developed to address the growing need for comprehensive business intelligence solutions. The platform emerged as a tool to facilitate data visualization, reporting, and analytics, helping organizations make data-driven decisions. It evolved over time to incorporate advanced features such as interactive dashboards and ad hoc analysis, responding to the increasing complexity of business data environments.

About Inetsoft Style Intelligence

Strengths of Inetsoft Style Intelligence include its robust data integration capabilities, user-friendly interface, and flexible reporting options. Weaknesses may involve a steeper learning curve for new users and limited advanced analytics features compared to some competitors. Competitors include 

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