Associate Chartered Accountant and Financial Data Analyst · Power BI · SQL · Python · Databricks
Open to Finance and Data Analyst roles in the UK · Currently building: NHS Cost of Waiting
View CV · LinkedIn · Portfolio · FDA Toolkit on PyPI · Email
I am a Financial Data Analyst and Associate Chartered Accountant (ACA) with over a decade of experience in financial reporting, FP&A and data analytics.
I help organisations turn complex financial data into trusted, decision-ready insight. I combine finance and accounting expertise with Power BI, Databricks, Azure data services, SQL and Python to improve reporting quality, automate repeatable processes and strengthen financial controls.
I build Power BI semantic models, star-schema data models, SQL data pipelines and Python-enabled financial workflows. My focus is reliable, scalable and auditable reporting—helping finance teams move beyond spreadsheet-led processes towards governed self-service analytics.
💡 Approach: Finance expertise first; data and automation as the enablers. Clean data, controlled processes and transparent logic make better financial decisions possible.
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| NHS Trust Financial Analytics | NHS Waiting List Analytics | Financial Report Intelligence System |
| Financial health of 206 NHS Trusts over 3 years (2.18M rows) Python · MySQL · Power BI |
What is driving the 4.4m → 7.7m waiting list (2019–2025) Python · Databricks · Power BI |
Metrics, risk flags and commentary from annual reports Python · Multi-agent AI · LLM |
Click a skill area to see its projects.
Power BI & Data Visualisation
| Project | Tech Stack | Impact | Link |
|---|---|---|---|
| NHS Trust Financial Analytics | Python, MySQL, SQL, Power BI | End-to-end ETL pipeline covering 206 NHS Trusts across 3 financial years — star schema, KPI views, Power BI export | View Project |
| NHS Waiting List Analytics | Python, MySQL, Databricks, Power BI | RTT pipeline across all NHS England trusts (2019–2025) testing whether the 4.4m → 7.7m waiting list growth reflects throughput or suppressed referrals | View Project |
| Financial Performance Analytics Model | Power BI, DAX, Power Query | Star-schema model with a structured DAX measure library covering profitability, growth, efficiency, pricing, and risk | View Project |
| World University Ranking | Power BI, DAX, PBIP | 5-page report on QS Rankings 2025→2026 — 29 DAX measures across 592 universities in 73 countries | View Project |
| UK Immigration Impact | Power BI, PBIP/TMDL, Power Query | Visa, asylum, settlement and citizenship lifecycle from Home Office 2025 data, cross-referenced with ONS economy data | View Project |
SQL & Databases
| Project | Tech Stack | Impact | Link |
|---|---|---|---|
| Advanced SQL — Cohort Risk Segmentation | MySQL, Advanced SQL, Jupyter | Advanced SQL (25+ queries, window functions, CTEs) segmenting international student risk cohorts from mental health outcome data | View Project |
| MySQL — Fundamentals to Advanced | MySQL, Python, Jupyter | Comprehensive MySQL showcase covering advanced queries, stored procedures, and Python integration for live data frames | View Project |
| Superstore Sales & Profitability (MySQL) | MySQL, SQL, Power BI | KPI extraction in MySQL (retention, average order value, discount impact) with a Power BI executive view | Coming soon |
Python & Automation
| Project | Tech Stack | Impact | Link |
|---|---|---|---|
| Financial Data Pipeline | Python, APIs, Pandas, Forecasting | Full pipeline from API extraction to data cleaning, automated forecasting, trading simulation, and deployment | View Project |
| Stock Market Analysis — Tech Giants | Python, Pandas, NumPy, Monte Carlo | Analysed GOOGL, AMZN, AAPL and MSFT — daily returns, Sharpe ratio, volatility, and 30-year Monte Carlo projection | View Project |
| Investment Portfolio Optimisation | Python, Pandas, Monte Carlo | Monte Carlo simulation and Markowitz efficient frontier allocation using the Sharpe ratio | Coming soon |
Machine Learning
| Project | Tech Stack | Impact | Link |
|---|---|---|---|
| ML in Financial Analysis | Python, Scikit-learn, XGBoost, Kubernetes | Regression for trend prediction, classification for risk assessment, ensemble models for portfolio optimisation | View Project |
| Product Price Prediction & Analytics | Python, Scikit-learn, XGBoost, Streamlit | Feature-based price modelling workflow (EDA, feature engineering, regression comparison) with a Streamlit prototype; first case study on 53,940 diamonds | View Project |
| Superstore Sales & Profit Forecasting | Python, Scikit-learn, Flask, Docker | Profit prediction across segments, regions and categories (98.1% accuracy), deployed as a Flask API in Docker | View Project |
| Salary Prediction with SHAP | Python, Neural Networks, SHAP | Deep learning salary model for 2024 ML roles, explained feature by feature with SHAP | View Project |
| Lead Conversion Model | Python, Scikit-learn, Marimo | Classification model that predicts which leads convert, helping marketing teams prioritise high-value prospects | View Project |
| Retail Marketing Prediction | Python, Scikit-learn, Feature Engineering | Consumer behaviour model on marketplace data with engineered features and a saved, deployable model | View Project |
| UK Immigration — YouTube Sentiment | Python, NLP, Airflow | Sentiment analysis of YouTube comments on UK immigration, with an Airflow pipeline for collection | View Project |
| Credit Risk & Loan Default Prediction | Python, Scikit-learn, XGBoost | Logistic regression and XGBoost default model evaluated with ROC-AUC and cross-validation | Coming soon |
AI & LLM Applications
| Project | Tech Stack | Impact | Link |
|---|---|---|---|
| Financial Report Intelligence System | Python, Multi-Agent AI, LLM | Multi-agent AI platform that extracts financial metrics, flags risk signals, and generates evidence-based commentary from corporate reports | View Project |
| HMRC Tax RAG Assistant | Python, RAG, LLM, SQLite | Retrieval-augmented agent answering UK tax questions grounded in HMRC internal manuals, with every answer traceable to a GOV.UK source | View Project |
| AI News Automator | Python, Streamlit, News API | Real-time news aggregation dashboard with AI/ML topic detection, smart search, and trend analytics | View Project |
| Retrieval Agent System | Python, RAG, Tool Calling | Retrieval agent with persistent search, tool calling, iterative retrieval and typed agent frameworks, plus evaluation and monitoring | View Project |
Financial Analysis & Management
| Project | Tech Stack | Impact | Link |
|---|---|---|---|
| Financial Forecasting & Variance Analysis | Python, Pandas, Forecasting | Revenue and expense forecasting with budget vs actual variance analysis to identify the drivers of discrepancies | View Project |
| NHS Cost of Waiting | Python, SQL, Power BI, DAX | Translating NHS waiting times into a modelled welfare cost by specialty and Trust, with transparent, adjustable assumptions | In progress |
| UK Mutual Fund Performance | Python, Pandas | Performance and risk comparison of UK mutual funds | Coming soon |
Advanced Excel & Financial Modelling
| Project | Tech Stack | Impact | Link |
|---|---|---|---|
| Treasury & Liquidity Model | Excel, Power Query, Scenario Analysis | 13-week cash flow forecast with working capital tracking, stress testing, and funding gap identification | Coming soon |
Statistics & Analytics
| Project | Tech Stack | Impact | Link |
|---|---|---|---|
| NHS Waiting Times — Statistical Analysis | Python, SciPy, Statsmodels | Hypothesis testing, confidence intervals, and regression on NHS waiting list performance | Coming soon |
- Professional: Associate Chartered Accountant, ACA (Institute of Chartered Accountants of Nigeria, an IFAC member body, 2019) · MSc Finance & Investment Banking, Distinction (University of Hertfordshire, 2024)
- Microsoft Certified (2026): PL-300 Power BI Data Analyst Associate · DP-900 Azure Data Fundamentals
- Databricks Accreditations (2026): Databricks Fundamentals · Generative AI Fundamentals · SQL Analytics · AI/BI for Data Analysts
- SQL & Machine Learning: Associate Data Analyst in SQL (DataCamp, 2026) · SQL Advanced (HackerRank, 2026) · Machine Learning (SuperDataScience, 2024)
| Expertise | Where you can see it |
|---|---|
| Financial Planning and Analysis | Financial Performance Analytics Model |
| Budgeting, Forecasting and Variance Analysis | Financial Forecasting & Variance Analysis |
| Reporting Automation and Process Optimisation | FDA Toolkit |
| Data Modelling for Financial Analytics | NHS Trust Financial Analytics |
| Audit-Ready Analytics and Control Frameworks | Financial Report Intelligence System |
| Performance Management and Decision Support | NHS Waiting List Analytics |
FDA Toolkit — Open-Source Finance Data Toolkit
I am the creator and maintainer of FDA Toolkit, an open-source Python package (67 functions across 8 modules) for cleaning, validating and preparing financial data.
The toolkit enables financial analysts, accountants, and data professionals to produce reliable, auditable, and repeatable analytics by replacing fragile spreadsheet-driven steps with structured validation, transformation and reporting functions.
Financial analytics capabilities
- Clean, standardise and validate financial datasets before reporting or analysis
- Support reconciliations, data-quality checks and traceable financial workflows
- Automate repeatable finance and FP&A analysis tasks using reusable Python functions
- Apply audit logging and consistent error handling to strengthen operational control
- Provide one-line utility workflows, including
ftk.quick_clean_finance() - Support integration with SQL, Power BI and broader financial-data pipelines
Install:
pip install fda-toolkit
View on PyPI • GitHub Repository
LinkedIn · info@adeyanjuteslim.co.uk · adeyanjuteslim.co.uk · GitHub · FDA Toolkit (PyPI)