Programme & Analytics Professional
Programme and enterprise development professional with deep experience in financial inclusion, multi-country advisory, and data-driven strategy. Currently completing an MSc in Business Analytics at Franklin University, Ohio.
I am a programme and enterprise development professional with a strong foundation in data analytics and business strategy. My experience spans multi-country development programs, cooperative systems, and enterprise advisory, where I have worked closely with women-led businesses, financial institutions, and government stakeholders. Over the years, I have supported the growth of over 10,000 enterprises, managed multimillion-dollar funding programs, and contributed to improving financial inclusion across diverse communities.
Currently pursuing a Master's in Business Analytics, I focus on bridging the gap between data and decision-making. I leverage tools such as Python, SQL, and Power BI to transform complex datasets into actionable insights. My work emphasizes measurable impact, optimizing operations, improving resource allocation, and enabling data-driven growth strategies. I am particularly interested in applying analytics to solve real-world challenges in enterprise systems, financial inclusion, and scalable business models.
MSc Business Analytics · Capstone 2025
Multi-branch marketing strategy through data science
In ProgressProblem
HW Dental is experiencing rapid growth across multiple branches but lacks clear visibility into which marketing channels, patient segments, and geographic areas are most effective in driving patient acquisition.
Data Journey
4,546 new patients across four branches analysed across demographic, insurance, referral, and geographic dimensions. Data cleaned, standardised, and enhanced through feature engineering including age grouping and referral categorisation.
Solution
R-based exploratory analysis with feature-engineered variables and referral grouping breakdowns. Interactive Power BI dashboard visualising patient acquisition by branch, channel, and segment.
Impact
Targeted recommendations to optimise marketing channel allocation, improve acquisition efficiency, enhance demographic targeting, and support sustainable multi-branch growth through data-driven decisions.
The following visualizations demonstrate pivot-table analysis and data storytelling across marketing, demographic, and geographic dimensions.
Data & Analytics
Project & Reporting
Focus Areas