Teslim Adeyanju

Financial Data Analyst & Chartered AccountantMicrosoft Certified: PL-300 & DP-900Power BI, SQL, Python, Microsoft Fabric

I enable finance teams to spend less time fixing data and more time using it.

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About Me

Finance expertise first; data and automation as the enablers

I'm a Financial Data Analyst and ACA Chartered Accountant with over a decade of experience in financial reporting, FP&A and data analytics. My career began in traditional finance (month-end close, management reporting, budgeting, forecasting and board reporting), where I saw teams spend more time reconciling spreadsheets than analysing performance.

That led me into data analytics, not to leave finance, but to modernise it. Today I build Power BI semantic models, SQL data pipelines and Python-enabled financial workflows that make reporting reliable, scalable and auditable. I also built fda-toolkit, a Python package on PyPI with 67 financial data analysis functions.

Read my full story

  • 57%faster month-end close, from 7 days to 3
  • ±8.5%forecast accuracy on a £2.3M budget
  • £50K+annual cost savings delivered
  • 1,000+monthly downloads of fda-toolkit

Technical Stack

Tools & Technologies

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

BI & Reporting

  • Power BI
  • DAX
  • Power Query
  • Semantic Models
  • Star Schema
  • Excel

SQL & Databases

  • SQL
  • T-SQL
  • MySQL
  • PostgreSQL
  • Stored Procedures
  • Data Modelling

Python & Automation

  • Python
  • Pandas
  • NumPy
  • SQLAlchemy
  • ETL Pipelines
  • PyPI Packaging

Finance & Accounting Systems

  • Sage 50
  • Xero
  • QuickBooks
  • IFRS Reporting
  • ERP Integrations
  • Month-End Close

Cloud & Data Platforms

  • Microsoft Fabric
  • Azure SQL
  • Azure Databricks
  • Databricks SQL
  • Git
  • Delta Lake

AI & Analytics

  • Databricks AI/BI
  • Azure OpenAI
  • RAG
  • Claude API
  • Genie Spaces
  • Multi-Agent AI

Portfolio

Selected Projects

Finance-focused case studies spanning classical analytics, Power BI, and modern AI.

★ FDA PyPI Package
PyPI GitHub

FDA Toolkit — Financial Data Preparation Framework

67 functions · 8 modules · reusable financial-data workflow

Python framework that automates financial data cleaning, validation and transformation, with one line pipelines and an audit trail of every step. It understands finance details such as sign conventions and currency formats, and is downloaded more than 1,000 times a month on PyPI.

Python 3.10+|MIT licence|Full type hints|Audit trail

Python PyPI ETL Audit
01 GitHub

NHS Financial Analytics

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.

Python MySQL Power BI NHS Finance
02 GitHub

Financial Forecasting & Variance Analysis

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.

Python Pandas Variance Analysis
03 GitHub

Stock Market Risk Analysis

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.

Python Monte Carlo Risk Analysis
04 GitHub

Advanced SQL Analytics

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.

SQL Python Window Functions
05 GitHub

Financial Performance Analytics Model

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.

Power BI DAX Analytics
06 GitHub

Financial Report Intelligence System

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.

Python Multi-Agent AI Power BI
07 GitHub

HMRC Tax RAG Assistant

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.

Python RAG Tax

More projects

Explore the full portfolio

Everything else I have built on GitHub, grouped by skill.

Power BI Python and finance SQL Machine learning AI
Explore my GitHub work

Career

Experience that shaped my finance & data practice

  1. Freelance Financial Data Analyst

    CoreInsight Financial Advisory Ltd · Hampshire, UK · 2025–Present

    Built an NHS financial analytics pipeline (~2.1M records, 206 trusts) on a MySQL star schema, and published fda-toolkit, a Python package with 1,000+ monthly downloads.

  2. Treasurer, Financial Strategy & Governance

    UK registered charity · 2024–Present

    Oversee £1M+ in donor funds with a clean audit record. Reserve forecasting now flags funding gaps six months ahead, and earlier budget approval unlocked £120K across 8 projects.

  3. Financial Reporting Analyst

    Remote, UK · 2024–2025

    Improved forecast accuracy to ±8.5% on a £2.3M budget, cut Power BI load times 35%, reduced manual reporting requests 60% and identified £50K in annual savings.

  4. Financial Data Analyst

    Remote, UK · 2019–2022

    Consolidated Sage and legacy data into Power BI models across 36 states: 55+ dashboards, 80+ DAX measures, and savings identified across 85 supplier contracts.

  5. Earlier finance career

    2010–2018

    • Financial Accountant 2013–2018
      Month-end close, IFRS statements and 60+ on-time board packs with a clean 5-year audit record.
    • Financial Business Analyst 2010–2013
      Controls and reconciliations across 35 branches; cut month-end close from 7 days to 3.

Credentials

Certifications & Credentials

Professional qualification and industry certifications behind my finance and analytics work.

Additional certifications

Associate Data Analyst in SQL (DataCamp) SQL (Advanced) (HackerRank) AI/BI for Data Analysts (Databricks)

Currently pursuing

Microsoft Certified: Fabric Analytics Engineer Associate (DP‑600)

Qualifications

Education

  1. MSc Finance and Investment Banking with Advanced Research

    Distinction

    University of Hertfordshire, UK · Sep 2022–Oct 2024

    Top 5% of cohort · HBS Excellence Award 2024 · Elected Student Representative

    Built on the CFA Levels 1 & 2 curriculum. My dissertation applied quantitative financial analysis and data science to real-world financial data, combining Python-based statistical modelling with financial theory to produce actionable investment insights.

    Key modules

    Financial Data Analysis Financial Modelling Investment Banking Corporate Finance

    Student Representative: gathered and analysed cohort feedback on teaching quality and course delivery, advocated cohort priorities to faculty and senior administrators, and drove measurable improvements to the learning experience.

  2. Postgraduate Diploma in Finance

    Distinction

    University of Lagos, Nigeria · Jul 2017–Oct 2018

    Covered the core finance disciplines and provided the academic foundation for my ACA qualification and professional finance career.

    Core areas

    Financial Reporting Management Accounting Corporate Finance Investment Analysis

Get In Touch

Let's Build Better Analytics Together

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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