Finance & Accounting Professional
I turn financial data into clear, decision-ready insight.
With over 8 years in accounting and finance, and Python skills layered on top, I help businesses close their books accurately and understand what the numbers are actually telling them.
About
01My background is in accounting and fund management — preparing final accounts, managing books, and keeping financial operations accurate and audit-ready. Over the past year I've added Python to that foundation, so I can go beyond reporting the numbers to analysing them: building models, automating repetitive reporting work, and surfacing the patterns a spreadsheet alone won't show.
I work with small businesses and finance teams who want their books handled properly and their data put to work, not just filed away.
Services
02Financial Modeling & Analysis
Excel · PythonForecasts, budgets, and scenario models built to hold up under real business questions — not just formulas that work once.
Bookkeeping & Financial Reporting
AccountingAccurate books, reconciled accounts, and clear financial statements you can hand to an auditor or an investor without worry.
Data Analysis & Dashboards
Python · PandasTurning raw transaction or expense data into a dashboard or report that answers a specific business question — not just a chart.
Selected work
03Nova Consumer Finance — Management Control Brief
Led a full variance and control review of a company's August performance against budget: recalculated revenue, gross profit, EBITDA, cash-conversion and DSO variances, separated confirmed drivers from unverified assumptions, and corrected a cash-conversion metric that had been misstated as a percentage rather than a percentage-point change. Delivered a management-ready summary with a three-point action plan, named owners, and an evidence gate requiring customer-mix and receivables-ageing data before sign-off.
GreenCycle — Financial Viability Model
Built a Year 1 balance sheet extract and short-term liquidity assessment for a recyclables business, calculating current ratio, quick ratio, and working capital against standard benchmarks. The analysis confirmed a healthy liquidity position (current ratio 1.80, quick ratio 1.40, working capital of ₦8,000,000), supporting the company's short-term solvency case to stakeholders.
St. Rita General Contracts — Finance Function Case Study & Proposal
Authored a case study and engagement proposal for building and directing a 10-person finance function for a medical equipment import and distribution company. Covered the structure, reporting lines, and controls needed to support the business's financial management, reporting, and portfolio oversight as it scaled.
Featured build — Financial Health Analyzer
04A Python tool that takes a company's raw financial statement line items across multiple years and automatically computes liquidity, profitability, efficiency, and leverage ratios — flagging each against standard SME benchmarks and charting the trend. Built to turn a manual ratio-analysis exercise (like the GreenCycle liquidity work above) into something repeatable and audit-ready. Sample run shown below on an illustrative retail company.
pandas · matplotlib · automated benchmark flagging · CSV export