Hi, My name is Mabel and I am a data analyst, virtual assistant, and AI enthusiast with experience in legal, administrative, teaching, and data analysis roles. I have managed responsibilities in legal assistance, administration, and education before transitioning into data analytics.
Professional Experience
- Managed emails, calendars, and appointments.
- Conducted research and organised documentation.
- Implemented and maintained digital systems for archiving and organisation.
- Coordinated travel arrangements and handled recruitment processes.
- Prepared reports, presentations, agendas and meeting minutes.
- Designed lesson plans, conducted assessments, and analysed student performance.
- Worked with teams on project coordination and process improvement.
- Cleaned, transformed, and visualised data.
- Maintained organised data files.
- Communicated with stakeholders to ensure clarity and collaboration.
Microsoft Office Suite
- Advanced Excel: (Pivot Tables, Power Query)
- Word: Document formatting, report writing
- Outlook: Email management, scheduling
- OneDrive & SharePoint: Cloud storage, document collaboration
- PowerPoint: Presentations, slide deck creation
Google Workspace
- Google Sheets: Data management and analysis, formulas, automation
- Google Docs: Report writing, document collaboration
- Gmail: Email management
- Google Calendar: Scheduling, event planning
- Google Drive: File management, cloud storage
- Google Forms: Survey creation, data collection
Other Tools & Technologies
- Data Analysis & Reporting: Excel/Google Sheet, SQL & Power BI
- Project Management & Design: Canva (graphic design), Asana (project management)
- Collaboration & Communication: Zoom, Microsoft Teams, Google Meet
- AI & Automation: ChatGPT, Copilot AI, Grammarly, Compose AI, Bing AI, Runway ML, and Todoist, among others.
I am adept at learning new tools and software, adaptable to changing priorities, and committed to lifelong learning. I am open to opportunities where I can apply my expertise to help businesses and organisations streamline operations and make data-driven decisions.