ACA Chartered Accountant | Financial Data Analyst
Power BI · SQL · Advanced Excel · Python · Financial Planning and Analysis
Turning financial data into clear insight that supports confident business decisions.
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
✨FDA Toolkit: A Financial Data Preparation Framework I Designed and Built
In real world finance work, most time is not spent analysing data. It is spent fixing it.
I built FDA Toolkit to solve this problem. It is a Python framework engineered specifically for financial datasets to automate cleaning, validation, transformation, and auditability so analysts can focus on insight rather than data repair.
Why I Built It
While working with financial data across multiple projects, I repeatedly encountered:
Inconsistent currency formats
Broken schemas across exports
Manual reconciliation checks
Repeated data cleaning scripts
Lack of audit traceability in transformations
FDA Toolkit was created to standardise these processes into a reusable, production ready solution.
What I Developed
67 purpose built functions organised into eight modular components.
Custom finance aware validation logic that understands accounting structures such as sign conventions, entity naming, and multi currency values.
An audit logging system to track every transformation for transparency and reproducibility.
Memory optimised processing designed to handle large transactional datasets.
A pandas aligned API so teams can adopt it without changing their workflow.
Practical Use Cases It Supports
FP&A data preparation pipelines
Transaction level reconciliation and validation
Multi source financial data consolidation
Regulatory and audit ready transformation workflows
Machine learning feature engineering for financial modelling
Technical Architecture
FDA Toolkit uses a modular, extensible design where each function self registers into the framework. This allows new financial rules or validation logic to be added without restructuring the codebase.
This makes it suitable for scaling from individual analysis to team level data workflows.
Impact
Reduces time spent preparing financial data.
Improves consistency across reporting pipelines.
Creates repeatable and auditable data processes.
Bridges the gap between accounting data and advanced analytics.
Explore FDA Toolkit
PyPI Package
https://pypi.org/project/fda-toolkit/
Source Code and Examples (GitHub)
https://github.com/TeslimAdeyanju/fda-toolkit
Documentation and Usage Guide
https://github.com/TeslimAdeyanju/fda-toolkit#readme
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.
LET'S CONNECT
I'm actively seeking Financial Data Analyst and Finance Systems roles in the United Kingdom with Certificate of Sponsorship.
- Application Deadline: June 30, 2026
- Location Preference: Hybrid and remote considered
- Target Organizations: Public sector, NHS Trusts, Local Councils, Financial Services, Charities