Restructured a 17-tab Excel workbook analysing HealthMax's position in a $98.5M shampoo category — tracing a rival's near-doubling of market share against a flagship brand's year-on-year decline, and building a macro-free, formula-driven toggle chart to compare a full 25-brand view against a focused competitor view without VBA. Surfaces the fastest-growing subcategory in the market (+276% in units, one HealthMax doesn't yet compete in) and quantifies via a linked Waterfall projecting how entering it could nearly quadruple HealthMax's stalled five-year growth rate by 2024.

Investigated bike purchase drivers across 1,000 US residents — resolving a 26-record duplication issue at the DAX measure level, then testing city, income, occupation, education, and demographic variables against purchase behavior via SQL before building a 5-page interactive Power BI dashboard. Surfaces a counterintuitive reversal (the highest-earning occupation has the lowest purchase rate) and identifies commute distance and car ownership as the strongest predictors — each finding paired with a business recommendation.

Conducted an end-to-end analysis of a 700-transaction financial sales dataset — loading raw Excel data into PostgreSQL, investigating performance across segments, products, countries, and discount bands via SQL, and delivering findings across six Matplotlib/Seaborn charts. Analysis surfaces profitability gaps, discount inefficiencies, and market-level pricing misalignments — each paired with a concrete business recommendation.

Analyzed churn drivers across 6,687 telecom customers via pivot tables — segmenting by contract type, tenure, age, and usage, and correcting a data-integrity issue that was silently skewing a key calculation before finalizing results. Surfaces a high-risk segment (month-to-month customers within their first year, 53.8% churn vs. under 1% for 2-year contracts) driven by competitor pricing rather than service dissatisfaction, paired with a targeted retention recommendation.

Built a 3-page interactive Power BI dashboard tracking enrolments and revenue across 19 courses in 5 categories — simulated after Literate Nigeria's digital skills programme. Enables drill-down by course category and time period, giving programme leads the visibility needed to make data-driven decisions at a glance.

Built an interactive Excel dashboard analysing H1 2025 sales performance across 4 regions, 6 products, and 6 salespersons — using PivotTables and slicers to flag a 79% sales collapse between January and June as the dashboard's central concern. Surfaces a margin story invisible in headline totals: the top-performing region wins on deal quality rather than volume, while two other areas quietly underperform on margin alone.

CGPA: 4.45/5.00, Second Class Honours (Upper Division)

Data Analysis track (in progress):

SIWES placement, Computer Science Dept., Lagos State University.

ENT 302 Practical Entrepreneurship, Writing & Publishing Track

ENT 302 Practical Entrepreneurship, Writing & Publishing Track

Conference 5.0 Campus Reps Coordinator