Host Analytics

Emiliano has over ten years of experience as a Data Analyst across diverse industries, including finance, telecommunications, and gaming.

The candidate is a seasoned Planning and Control Analyst with extensive experience in data analysis acquired through roles in prominent organizations. Expertise includes the development of automated dashboards and reports employing advanced tools such as Excel (VBA), Power BI, and SQL, with a strong foundation in Business Intelligence methodologies. Proven track record in leading data integration and process automation projects that enhance decision-making efficiency and operational productivity. The candidate's capacity to work under high-pressure environments ensures precision and timely delivery of results. Strong communication skills facilitate the clear presentation of complex data, aligning analytical efforts with strategic business objectives for sustainable growth.

Data scientist with over two years of experience and a degree in Aeronautical Engineering, specializing in data engineering and data science projects. Expertise includes utilizing statistical analysis and machine learning methodologies to solve complex problems, with proficiency in tools such as Python, R, Power BI, and SQL. Recent accomplishments involve developing machine learning models for industrial applications, creating ETL tools for carbon emission reporting, and designing management dashboards to improve decision-making processes. Holds multiple certifications in Data Science and relevant technologies, demonstrating a commitment to continuous professional development.

A Systems Analyst specializing in client and supplier relations, with expertise in developing dashboards using the Tableau platform and proficient in SQL data manipulation. Skilled in IT process roles and well-versed in agile methodologies, including ITIL, SCRUM, and COBIT.

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.

A Data Analyst endowed with a sharp focus on deriving valuable insights and addressing business challenges to augment organizational value. Possesses expertise in leveraging Excel and Google Sheets to increase efficiency in statistical analysis. Demonstrates proficiency in SQL, Python, and R for gathering and structuring extensive datasets, coupled with adeptness in employing Tableau, Power BI, and Looker Studio for effective data visualization.

A data analysis professional with a degree in Data Science and ongoing postgraduate studies in Artificial Intelligence, possessing extensive knowledge in programming languages such as Python, SQL, and R. Experienced in developing innovative solutions utilizing relational and NoSQL database systems like PostgreSQL, MySQL, and MongoDB. Proficient in data visualization tools such as PowerBI and Tableau, with a strong focus on Machine Learning, Natural Language Processing, and AI applications to enhance process optimization and data-driven decision-making. Demonstrates analytical and creative skills in integrating and automating processes, alongside experience in building machine learning models and ensuring data integrity through collaboration with compliance teams.

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.