Cumul.io

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.

Bachelor of Information Technology from UFRN with a passion for continuous learning and a focus on data analysis. Experience includes data analysis, Power BI, Python, and SQL. Recognized for organizational skills, attention to detail, and commitment to high-quality work.

An experienced Data Analyst with a five-year background specializes in relational database management, data visualization, and data science. Proficiencies include SQL Server, PostgreSQL, Excel, Power BI, and Python. Skilled in multiple programming languages such as Python, Java, C, and C++, with a keen interest in interdisciplinary projects focused on operational efficiency and process automation.

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.

Nicolas is a Data Analyst with five years of experience. He excels in constructing data pipelines using Databricks Lakehouse and is proficient in SQL, Python, Power BI, Snowflake, Looker, and Tableau.

Data Analyst with over three years of experience, transitioning to a career in development. This professional background includes significant involvement in various startup projects, leading to a strong proficiency in web scraping, object-oriented programming (OOP), Python, SQL, and R. Expertise extends to major Python web development frameworks, including Django, Flask, and FastAPI. Additional skills encompass JavaScript, HTML, CSS, and version control using GIT. Dedication to continuous learning and a passion for programming concepts are evident, with a focus on producing clean, readable, and scalable code.

Career spans 24 years specializing in Acquiring, Payment Methods, Banking, and Card sectors, with in-depth experience in Data and Analytics, Operational Control, BackOffice, Financial Operations Control, and Risk Analysis, particularly Chargeback management. Proven ability to foster partnerships and relationships by facilitating the open exchange of ideas and opinions to drive business development. Prioritized the expansion of business knowledge by mastering, executing, and enhancing processes, reducing financial losses, conducting systemic simulations, implementing automations, and preparing and analyzing data to inform decision-making. Provided consistent support to partner areas to streamline operations and optimize financial performance.

Specialist in BI/Analytics projects with extensive experience in SQL across various platforms, including SQL Server, PostgreSQL, BigQuery, and MySQL. Proficient in Power BI, utilizing M for data modeling and DAX for advanced function creation. Certified as a Tableau Business Intelligence Analyst, with expertise in Tableau Desktop and Looker Data Studio. Currently focusing on Software Engineering, with a particular interest in data visualization using D3.js.