About
Learn more about me
Data Analyst
I don't just work with data - I make it work for business.
I'm a Data Analyst with an MBA who thrives at the intersection of business strategy and analytics. My passion lies in uncovering hidden insights and transforming them into strategies that drive measurable growth.
I've built dashboards that became essential decision-making tools, automated Excel-Python reports that cut manual work by 50%, and optimized databases for faster, smarter analysis. Whether it's wrangling messy datasets, designing intuitive dashboards, or telling the story behind the numbers, I focus on delivering impact, not just reports.
What sets me apart is my business-first mindset backed by technical depth. My MBA means I see the bigger picture, aligning every analysis with organizational goals. From healthcare analytics that informed policy to sales analysis that improved efficiency, I bridge the gap between raw data and strategic outcomes.
I'm also a collaborator and continuous learner, always sharpening my skills and creating solutions that matter.
Explore my portfolio to see how I transform raw data into clarity — and clarity into action.
My Skillset
Data Analysis & Visualization
- Tools: Excel, Google Sheets, SQL, Python, Tableau, Power BI
- Techniques: Data wrangling, Exploratory data analysis, Dashboard creation, Data modeling, Data visualization, Data storytelling, Report writing & documentation
Database Management
- Tools: SQL (MySQL, PostgreSQL, Microsoft SQL Server)
- Skills: Data querying, Data manipulation, Database design and optimization, ETL processes
Programming
- Language: Python
- Libraries: Pandas, NumPy, Matplotlib, Seaborn, Plotly
- Application: Data analysis, automation, statistical modeling
Professional Skills
- Communication: Translating complex data insights for technical and non-technical audiences
- Problem-Solving: Identifying root causes and developing data-driven solutions
- Collaboration: Working effectively with cross-functional teams at DataVerse Africa and Hamoye internships
- Critical Thinking: Evaluating data quality and challenging assumptions
- Continuous Learning: Staying current with emerging analytics tools and methodologies
- Project Management: Delivering end-to-end analytics projects on time
- Attention to Detail: Ensuring data accuracy and quality in all analyses
