Hi, I'm Teslim Adeyanju. ACA Chartered Accountant | Financial Data Analyst. I speak both CFO and GitHub fluently. Power BI · SQL · Python · FP&A.
Financial Data Analyst for FP&A, Reporting, and Commercial Finance
ACA and Microsoft Certified Power BI Data Analyst (PL-300) helping finance teams turn messy GL, sub-ledger, and operational data into decision-ready reports, driver-based forecasts, and self-service Power BI dashboards — using SQL, Python, and Azure.
Measurable impact delivered
Career
Built a self-directed NHS financial analytics pipeline (~2.1M records, 206 trusts) with a normalised MySQL star schema and audit-logged ETL, and published fda-toolkit, an open-source Python package now used by 1,000+ analysts monthly.
Improved reserve forecasting to flag funding gaps six months ahead, secured £12K in operational-continuity funding, enabled £120K allocation across 8 projects through earlier budget approval, and oversees £1M+ in donor funds with a clean audit record.
Improved forecast accuracy from ±10% to ±8.5% on a £2.3M budget, cut Power BI load times 35% by removing 120 redundant columns, reduced manual reporting requests 60% via self-service dashboards, and identified £50K in annual savings.
Consolidated Sage and legacy-system data into Power BI semantic models across 36 states, building 55+ dashboards and 80+ DAX measures, and identifying savings across 85 supplier contracts and 1,200+ SKUs.
Led month-end close, IFRS-compliant financial statements, and board reporting; ran audit-readiness activities and supported capital expenditure tracking. Delivered 60+ board packs on time with a clean 5-year audit record and consistent early delivery.
Managed financial controls, reporting, and intercompany reconciliations across 35 branches, six regional zones, and eight business units. Cut month-end close from 7 days to 3 and eliminated recurring reconciliation errors.
Qualifications
Academic excellence paired with current industry certifications across finance, analytics, and cloud platforms.
University of Hertfordshire, UK · 2022–2024
Top 5% of cohort · HBS Excellence Award 2024 · Student Representative
Built on the CFA Levels 1 & 2 curriculum, the programme is where the quantitative rigour behind my financial modelling and investment analysis comes from — the same discipline I now apply to Power BI, SQL, and Python-based reporting.
Also holds a Postgraduate Diploma in Finance: University of Lagos, Nigeria, 2017–2018.
Professional Qualifications
Certifications
Microsoft Certifications
Databricks Training and Credentials
Additional Certifications and Training
Technical Stack
The tools I use to turn financial data into insight, and insight into decisions.
Power BI (PL-300), DAX, Power Query, Semantic Models, Star Schema
T-SQL, MySQL, Stored Procedures, ETL, Data Modelling
Python, Pandas, NumPy, SQLAlchemy, PyPI Package Development
Sage 50, Xero (Certified Advisor), QuickBooks, ERP Integrations
Azure SQL, Azure Databricks, Databricks SQL, Git
Azure OpenAI, RAG, Claude API
Portfolio
Finance-focused case studies spanning classical analytics, Power BI, and modern AI.
67 functions · 8 modules · reusable financial-data workflow
Python framework for automating financial data cleaning, validation, transformation, and audit logging. Eliminates manual reconciliation, broken schemas, and audit gaps—so analysts focus on insight, not data repair.
206 NHS trusts across 3 financial years · Python-to-MySQL ETL pipeline
Engineered end-to-end Python ETL pipeline ingesting NHS England financial data into MySQL star schema with analytical views, KPI metrics, and Power BI integration across 206 trusts.
Management Accounting · Forecasting · Variance Analysis
Designed forecasting models and variance analysis framework using Python — translating core management accounting skills into data-driven analytics with professional visualisations.
GOOGL · AMZN · AAPL · MSFT · Monte Carlo Simulation
Full portfolio risk analysis framework: daily returns, volatility computation, Sharpe ratio calculation, and 30-year Monte Carlo simulation for informed investment risk modelling.
CTEs · Window Functions · Data Quality Analysis
Advanced SQL analytics using CTEs, window functions, aggregations, and data quality frameworks — applied to student wellbeing analytics in Jupyter and MySQL.
29 DAX Measures · 5 KPI Domains · Enterprise Dashboard
Advanced Power BI model with 29 complex DAX measures tracking profitability, growth, efficiency, pricing, and risk metrics. Interactive dashboards with drill-through capabilities for business intelligence.
10-agent architecture · 21+ financial metrics · validated on Apple, Amazon & Colgate annual reports
Multi-agent AI platform that extracts and interprets financial statements — automated metrics and ratio calculation, evidence-linked risk and anomaly detection, and AI-generated executive commentary, with Python handling every calculation so results stay auditable.
1,299 indexed sections · 5 HMRC internal manuals · source-linked answers
Retrieval-augmented Q&A system that grounds UK tax answers in official HMRC internal manuals instead of an LLM's memory — every response traces back to the exact GOV.UK source page, or the system declines to answer.
Some links go to my second GitHub account, github.com/UthmanAdeyanju (Uthman is my other given name).
Get In Touch
Interested in discussing Finance Analytics, Data Engineering, Power BI implementation, or Python-based financial solutions? I'm based in the UK and available for immediate engagement.
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