Zap Bi

A Data Analyst driven by a passion for data and statistics, consistently seeking to embrace new challenges and innovative solutions. Demonstrates robust competencies in teamwork, excellence, structured thinking, and career development. Exhibits a collaborative work ethic, coupled with adept decision-making and problem-solving capabilities. Possesses strong planning and organizational skills, along with a continuous pursuit of innovation.

Paulo has six years of experience as a Machine Learning Engineer and two as a Backend Developer. His primary tech stack is Python, and he is proficient in machine learning algorithms, data analysis, and visualization.

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.

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.

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.

Professional with extensive experience in Performance, Strategy, Business Excellence, and Data across diverse sectors, including national and multinational companies, startups, and NGOs. Specialized in overseeing strategic and multifunctional projects through various stages, from data collection and processing to reporting and the creation of intelligent dashboards. Expertise includes process management and governance, PowerBI, and Digital Transformation Project Management. Proficient in SQL, T-SQL, SSIS, SSAS, Apache Spark (Databricks), IBM Cognos, Tableau, and Azure, with substantial experience in GCP cloud services, Azure, and AWS. Competent in employing Airflow and adept in both agile and traditional project management methodologies. Experienced in developing data ingestion APIs utilizing REST, SOAP, HTTP, FTP, and SFTP. Proven track record as a team leader and manager, with a notable history of executing Machine Learning projects using Python.

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.

Data analyst with over one year of professional experience in data analysis, demonstrating robust numerical and logical reasoning capabilities alongside a strong interest in programming and data manipulation. Primarily specializing in Power BI, the candidate has successfully led projects across diverse sectors, including retail, technology, and financial institutions. Proficient in data manipulation using Excel and SQL, the analyst is also acquainted with other Business Intelligence tools such as Tableau. Focused on leveraging data analysis and business intelligence to facilitate data-driven decision-making and support companies in achieving their strategic objectives.