Sobre

Hi! I’m Rafael Ananias dos Anjos, a 20-year-old Financial Management student from Brazil with a strong interest in data, organization, and business processes.

I’m a detail-oriented and organized professional who enjoys turning complex or unstructured information into clear, accurate, and easy-to-use data. I have hands-on experience with Microsoft Excel, data organization, administrative routines, research, and analytical tasks.

I’m comfortable working independently, handling repetitive and high-volume tasks, and learning new tools and processes quickly. My goal as a freelancer is to provide reliable, accurate, and well-organized support that helps businesses save time and operate more efficiently.

I’m currently looking for opportunities involving data entry, Excel, data organization, administrative support, online research, and other back-office activities.

Experiências

Professional Experience

I have professional experience working with data analysis, data organization, and administrative processes, handling large amounts of information and transforming it into structured and useful datasets.

My daily responsibilities include creating and maintaining Excel spreadsheets, organizing and validating information, performing calculations and comparisons, identifying inconsistencies, researching data, and preparing structured information for analysis and decision-making.

I have developed strong skills in Microsoft Excel, including spreadsheet creation, formulas, filters, data formatting, comparisons, data validation, and the organization of large datasets. I also work with process improvement, creating structured workflows and spreadsheets that make repetitive tasks more efficient and information easier to manage.

My experience has strengthened my attention to detail, accuracy, organization, and ability to work with large volumes of information while maintaining consistency and quality.

My main areas of experience include:

• Data entry and data organization
• Microsoft Excel and spreadsheet management
• Data cleaning, validation, and formatting
• Data analysis and comparisons
• Online research and information gathering
• Administrative and back-office support
• Process organization and workflow improvement
• Handling and structuring large datasets