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Teslim
Adeyanju

Financial Data Analyst | ACA Chartered Accountant | FP&A, Financial Modelling | Excel, Power BI, SQL

Turning financial data into clear insight that supports confident business decisions.

ACA Chartered Accountant with 13+ years bridging rigorous financial expertise (IFRS, UK GAAP, management accounts) with cutting-edge analytics (Power BI semantic modelling, Python ML, SQL pipelines). I build the infrastructure, not just the reports — and I speak both CFO and GitHub fluently.

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13+ Years
Experience

67 FDA Toolkit
Functions

206 NHS Trusts
Analysed

21 Portfolio
Projects

📊 Power BI Expert

📈 Financial Analytics

Edge

What Makes Me Different

Where financial rigour meets technical depth — built for real-world business impact.

📦

Published Python Developer

Built and maintain production-grade PyPI package (fda-toolkit) with 67 financial data analysis functions, 1,000+ downloads. Specialized in Pandas, NumPy, and scikit-learn predictive modelling for finance applications.

📊

Power BI Architecture Expert

Design star schema semantic models, advanced DAX measures with time intelligence, and optimize query performance using aggregations and Performance Analyzer. Reduced dashboard load times by 35% through strategic data modelling.

🗄️

SQL Database Specialist

Develop complex queries using advanced joins, CTEs, window functions, and stored procedures. Implement database normalization (3NF), design ETL pipelines, and optimize query performance through indexing strategies.

📐

FP&A & Financial Modelling

Build multi-year budget models, rolling 13-week cash flow forecasts, and variance analysis frameworks. Delivered ₦420M → ₦600M+ revenue uplift through data-driven scenario planning for senior leadership.

⚙️

Finance + Software Engineering

Combine ACA qualification with technical rigor — type-safe API development, audit trail logging, modular Python architecture, and Git version control for reproducible financial analysis workflows.

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Automation Champion

Reduce financial data cleaning from hours to minutes through intelligent ETL pipelines. Automate variance analysis, reconciliation, and management reporting using Power BI, SQL, and Python integration.

Academic Excellence

MSc Finance & Investment Banking (with Advanced Research) Distinction

University of Hertfordshire, UK · Oct 2022 – Sep 2024

🏆 Top 5% of cohort 🏛️ HBS Excellence Award 2024 🎓 Student Rep 2022/2023

Technical Stack

Tools & Technologies

The tools I use to turn financial data into insight, and insight into decisions.

Business Intelligence & 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 & Data Science

Python — Pandas, NumPy, Scikit-learn, Streamlit
SQL — MySQL, PostgreSQL, stored procedures, query optimisation
R — data analysis, statistical modelling
Git & GitHub — Jupyter Notebooks, VS Code, Docker

Financial & ERP Systems

IFRS / UK GAAP — statutory financial reporting, disclosure requirements, consolidation
Management Accounts — P&L, budgeting, forecasting, variance analysis
NHS Finance — public sector reporting, mandatory returns, CIP tracking
Xero — Advisor Certified
Sage 50 / Business Central / QuickBooks — ERP and accounting systems

Data Engineering & Automation

ETL Pipelines — end-to-end pipeline development and data integration
SQL Extraction — data extraction, normalisation and audit trails
Power Query — transformations, data cleansing and M language
Scheduled Refresh — automated reporting workflows and deployment

Portfolio

Selected Projects

View all 21 projects on GitHub 21 repos

Finance analytics · Data engineering · Machine learning

★ FDA PyPI Package

GitHub

FDA Toolkit — Financial Data Preparation Framework

🛠️ 67 Functions · 8 Modules · Production-Ready · Published on PyPI

A Python framework I designed and built to automate financial data cleaning, validation, transformation, and auditability. Solves real problems: broken schemas, manual reconciliation, lack of audit traceability — so analysts focus on insight, not data repair.

Python PyPI Package ETL Audit Trail

PyPI ↗ GitHub ↗

01 GitHub

NHS Financial Analytics

📊 206 NHS Trusts · 3 Financial Years · End-to-End ETL Pipeline

Python ETL pipeline ingesting NHS England TAC Excel files into MySQL star schema with analytical views, KPI computations, and Power BI export — covering 206 NHS Trusts.

Python MySQL Power BI NHS Finance

04 GitHub

Financial Forecasting & Variance Analysis

📈 Management Accounting · Python Applied to Finance

Forecasting models and variance analysis using Python — core management accounting skills applied with data analytics and visualisation.

Python Pandas Variance Analysis

03 GitHub

Stock Market Risk Analysis

📉 GOOGL · AMZN · AAPL · MSFT · 30-Year Monte Carlo Simulation

Portfolio analysis with daily returns, volatility, Sharpe ratio, and Monte Carlo simulation for investment risk modelling.

Python Monte Carlo Risk Analysis

06 GitHub

Advanced SQL Analytics

🗄️ CTEs · Window Functions · Data Quality · MySQL + Python

Student wellbeing analytics using advanced SQL with CTEs, window functions, aggregations, and data quality analysis in Jupyter + MySQL.

SQL Python Window Functions

07 GitHub

ML in Financial Analysis

🤖 Regression · Classification · Ensemble · Portfolio Optimisation

Machine learning applied to finance: regression for trend prediction, classification for risk, and ensemble models for portfolio optimisation.

Scikit-learn Python Risk Modelling

View all 16 remaining projects

#	Project	Focus	Stack
02	Financial Data Pipeline	ETL · Forecasting · Trading	Python	↗
05	UK Mutual Fund Performance	Fund Analysis · Performance	—	↗
08	Diamond Price Prediction	EDA · Feature Engineering · ML	Python	↗
09	Superstore Sales Prediction	Retail · Forecasting · ML	Python	↗
10	Retail Marketing Prediction	Marketing · Consumer Behaviour	Python	↗
11	Salary Prediction (SHAP)	ML · Explainability · SHAP	Python	↗
12	Lead Conversion Model	Marketing · Classification	Python	↗
13	YouTube Sentiment Analysis	NLP · Sentiment · Text	Python	↗
14	Electricity Demand Forecast	Time-series · Forecasting	Python	↗
15	World University Ranking	EDA · Data Analysis	Python	↗
16	AI Career Coach	AI Agent · LLM	HTML/JS	↗
17	AI News Automator	AI · Streamlit · Automation	Python	↗
18	Email Agent	AI Agent · Automation	Python	↗
19	Ollama Local Agent	Local LLM · AI	Shell	↗
20	AI Dev Tools Zoomcamp	Django · AI Dev	Python	↗
21	MySQL Fundamentals to Advanced	Core SQL to Analytics · Python Integration	MySQL + Python	↗

Learning

Study Notes

8 open learning journals — continuously updated on GitHub

🐍

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Python for Finance

Fundamentals → data pipelines → applied ML. A finance-first approach to Python programming and data analysis.

Core SQL to advanced analytics. Relational schemas, CTEs, window functions, and Python–SQL integration.

Statistical analysis, data modelling, and financial visualisation using R — from syntax to applied finance.

RStatisticsVisualisation

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LLMs for Finance

Large Language Models, PyTorch, and GenAI applied to financial analytics, reporting automation, and data extraction.

LLMPyTorchGenAI

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Machine Learning for Finance

Regression, classification, and ensemble models for financial forecasting, risk assessment, and portfolio optimisation.

Scikit-learnForecastingRisk

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Advanced Excel for Finance

Power functions, pivot tables, financial modelling, and VBA automation for professional-grade finance reporting.

ExcelVBAModelling

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Power BI & DAX for Finance

End-to-end financial dashboards, KPI design, DAX measures, and Power Query ETL for management reporting.

Power BIDAXKPI

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Statistics & Time-Series

Statistical foundations, time-series forecasting (ARIMA, Prophet), and econometric modelling for financial data.

StatsmodelsARIMAEDA

📚 Knowledge Management: I use Snipd + Notion to systematically capture and connect insights from podcasts across AI, finance, and data science — so learning is retained and applied, not lost. Explore my knowledge base on Notion →

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