I’m a detail-oriented Data Analyst with a strong foundation in Excel-based analysis, dashboards, and reporting, supported by prior experience in technical support and helpdesk environments. I specialize in turning raw business data into clear, actionable insights that decision-makers can quickly understand. My work typically involves data cleaning, structuring datasets, building Pivot Tables and charts, trend and performance analysis, and creating management-ready reports and dashboards. I’m comfortable working in Excel, Google Sheets, and Power BI for visualization and reporting needs. Alongside data analysis work, I also support clients as a Virtual Assistant, helping with tasks such as lead generation, web research, data collection, spreadsheet management, and maintaining structured trackers for ongoing projects. I focus on accuracy, organization, and clear documentation so that workflows stay reliable and easy to manage. I also have hands-on experience with Python for data analysis, including data cleaning, exploratory analysis, and basic time-series and forecasting workflows, using it where it adds efficiency and clarity alongside Excel-based outputs. My technical support background has trained me to follow processes carefully, document work clearly, communicate effectively, and stay reliable with ongoing tasks and deadlines. Clients value my structured approach, transparency in logic, and ability to explain results in plain language. I’m best suited for projects involving data analysis, reporting, dashboards, forecasting support, lead generation, research, and structured data management—where accuracy, clarity, and consistency matter. I also work on digital design projects focused on soft, pastel-themed social media and invitation assets, which aligns with this requirement