ACA Chartered Accountant | Financial Data Analyst
Power BI · SQL · Advanced Excel · Python · Financial Planning and Analysis
ACA Chartered Accountant with 10+ years combining rigorous financial expertise (IFRS, UK GAAP, statutory reporting) with cutting-edge analytics (Power BI semantic modeling, Python machine learning, SQL optimization).
What sets me apart: I build the infrastructure, not just the reports. I specialize in turning financial data into clear insight that supports confident business decisions through automated dashboards, predictive cash flow models, and SQL pipelines that transform operations. I speak both CFO and GitHub fluently.
MSc Finance and Investment Banking (Distinction, top 5% of cohort).
Currently serving as Treasurer at Asylos charity, managing restricted funds and board-level governance. Preparing for Microsoft PL-300 Power BI Data Analyst certification.
Open to Financial Data Analyst and Finance Systems roles in the United Kingdom. Hybrid and remote considered.
About Me
I solve the problem most finance teams face: drowning in data but starving for insight. As an ACA Chartered Accountant with 10+ years bridging finance and analytics, I've built systems that turn monthly reporting from multi-day processes into automated workflows. I've designed dashboards that help boards spot cash flow risks months earlier.
And I've trained finance teams to ask better questions of their data. Most finance professionals either know accounting or know analytics. I do both—and that's where the value lives.
My career began in core accounting and finance, where I prepared management accounts, built budgets and rolling forecasts, delivered variance analysis, and supported compliance under IFRS and UK GAAP. Over time, I expanded into data analytics and machine learning, combining accounting discipline with modern analytical tools.
Today, I help organisations go beyond reporting by uncovering performance drivers, explaining trends, and translating complex financial data into actionable business insight that supports planning and decision-making.
I also serve as Treasurer on the Board of Trustees at Asylos, a United Kingdom-based charity providing research to support asylum claims. In this role, I manage budgets, forecasts, and restricted funds, and design board-level dashboards that strengthen transparency, accountability, and governance.
In short, I turn numbers into meaningful stories that inform strategy and drive results.
Professional Qualifications & Education
MSc Finance and Investment Banking with Advanced Research University of Hertfordshire, United Kingdom Distinction (Top 5% of cohort)
Chartered Accountant (ACA) Institute of Chartered Accountants of Nigeria
Xero Advisor Certified
Currently preparing for: Microsoft PL-300 Power BI Data Analyst Certification
What I Do Best
I combine strong accounting foundations with data science, advanced Excel, SQL, and Power BI modelling to help organisations turn financial data into confident decisions.
Finance and Accounting for Decision Making
- Financial reporting under IFRS and UK GAAP including Statement of Financial Position, Statement of Profit or Loss, and Cash Flow
- Management accounts, budgeting, rolling forecasts, and reforecast cycles
- Variance analysis across revenue, cost, margin, cash flow, and working capital
- Liquidity management, financial risk analysis, and cash flow forecasting
- Scenario and sensitivity modelling to support planning and strategic decisions
- Restricted funds management and board level financial reporting
Data Analytics, Modelling, and Insight
- Financial analysis and predictive analytics using SQL, Python, R, and machine learning
- Power BI semantic modelling using star schema with clearly defined fact and dimension tables
- DAX measures, variables, and time intelligence for margin, YoY, and trend analysis
- Power BI performance optimisation using aggregations, cardinality reduction, and model tuning
- SQL data modelling and querying using advanced joins, views, stored procedures, and normalised schemas
- Advanced Excel financial modelling using Power Query, PivotTables, FORECAST.ETS, XLOOKUP, and dynamic formulas
- Reporting automation using Power Query, SQL pipelines, GitHub, Docker, and scheduled refreshes
- Interactive dashboards and executive reporting using Power BI and advanced Excel
Systems, Automation, and Governance
- Accounting and ERP systems including Xero, Sage 50, Business Central, and QuickBooks
- ERP to Power BI data integration and ETL processes ensuring reliable and consistent reporting
- SQL based data extraction and normalisation to maintain analytical integrity
- Month end close optimisation, audit readiness, and statutory reporting support
- Governance focused reporting with strong internal controls and risk oversight
Impact Highlights
- Automated month-end reporting processes, reducing close time from days to hours while improving accuracy and consistency
- Designed 15+ Power BI dashboards supporting executive decision-making across budgeting, forecasting, and performance management
- Built SQL data pipelines processing high-volume transaction data with 99%+ accuracy and full audit trail
- Developed predictive cash flow models enabling 3-month earlier identification of liquidity risks at board level
- Created comprehensive financial governance frameworks with restricted funds tracking and donor reporting for charity operations
- Implemented Power BI semantic models with optimized DAX reducing report refresh times by 60%+ through proper data modeling
Tools & Technologies
Business Intelligence and Visualisation
- Power BI (DAX, Power Query, semantic modelling, performance optimisation)
- Advanced Excel (Power Query, PivotTables, dynamic arrays, financial functions)
- KPI tracking, interactive dashboards, executive reporting
Programming and Data Science
- Python (pandas, NumPy, scikit-learn, Streamlit)
- SQL (MySQL, PostgreSQL, stored procedures, query optimisation)
- R (data analysis, statistical modelling)
- Git and GitHub, Jupyter Notebooks, VS Code, Docker
Financial and ERP Systems
- Xero Advisor Certified
- Sage 50, Microsoft Business Central, QuickBooks
- General ledger, reconciliations, payroll RTI, consolidation
Data Engineering and Automation
- ETL pipeline development and data integration
- SQL-based extraction and normalisation
- Power Query transformations and data cleansing
- Scheduled refresh and automated reporting workflows
Featured Portfolio Projects
Diamond Price Predictor
- Business Question: How can retailers price inventory competitively while maximising margin based on diamond characteristics?
- Key Insight: Cut quality drives 43% of price variance, outweighing carat weight in the premium segment.
- Developed an end-to-end machine learning pipeline to predict diamond prices and explain key price drivers. Deployed an interactive solution using Streamlit for real-time predictions.
- Skills Demonstrated: Python (scikit-learn, pandas, NumPy), regression modelling, feature engineering, model evaluation, Streamlit, model interpretation
Explore the full Project on Github
Tech Giants Stock Analysis
- Business Question: Which technology firms show the strongest financial performance and market positioning for investment consideration?
- Key Insight: Revenue growth consistency with stable margins was more predictive of long-term stock performance than single-quarter spikes.
- Analysed performance and market trends across leading technology companies using SQL and Python. Turned raw financial data into investment-relevant insights.
- Skills Demonstrated: SQL (complex queries, window functions), Python (pandas, matplotlib), financial ratio analysis, comparative analysis
View Full Analysis on GitHub
International Student Wellbeing Analytics
- Business Question: What patterns drive international student wellbeing outcomes across education and healthcare dimensions?
- Key Insight: Mental health support access correlated more strongly with retention than traditional academic support.
- Built an advanced SQL analysis using window functions, CTEs, and complex joins to uncover drivers and segment populations for targeted interventions.
- Skills Demonstrated: SQL (window functions, CTEs, complex joins, subqueries), data normalization, analytical query design, pattern recognition, cohort analysis
View Full Analysis on GitHub
News Automator Real Time News Aggregator
- Business Question: How can professionals monitor industry news without information overload?
- Key Insight: Relevance scoring reduced daily review time while improving coverage of critical updates.
- Designed and built a real time news aggregation platform using Python and Streamlit with API integration, filtering, and categorisation.
- Skills Demonstrated: Python, API integration, Streamlit, automation design, relevance scoring
View Full Analysis on GitHub
Project Collections
Browse my structured project collections across the following areas.
Continuous Learning Through Systematic Knowledge Capture
I use automation to transform podcasts into a structured, searchable knowledge base that supports continuous learning and professional insight.
Using Snipd and Notion, transcripts and key highlights are automatically captured and organised across AI, finance, and data science. Relevant insights are then connected to forecasting, data strategy, and emerging technology, ensuring learning is retained and applied rather than lost.
Journals and Study Hub
Reflections, study notes, and practical insights from my ongoing learning across finance, accounting, and data science.
I capture not just what I learn, but how ideas connect to real world financial analysis, reporting, and decision making.
My Reflection
My Study Journal