Teslim
Adeyanju

Financial Data Analyst | FP&A | Power BI | SQL | Python
ACA Chartered Accountant · PL-300 Certified · MSc Finance, Distinction

13+ Years
Experience
67 FDA Toolkit
Functions
206 NHS Trusts
Analysed
21 Portfolio
Projects

Associate Chartered Accountant with 13+ years in financial reporting, FP&A, and finance-IT transformation. I bridge finance teams and engineering, translating business requirements into system solutions and validating multi-million-pound data movements with zero material errors.

At the intersection of finance and data, I build Power BI semantic models using star schema architecture, write SQL pipelines for financial analytics, and automate reporting workflows with Python. Author of fda-toolkit on PyPI, with 67 production-ready functions used by 1,000+ analysts monthly.

Power BI DAX SQL Python Azure SQL Databricks Tableau Xero Git Azure OpenAI RAG Microsoft Fabric
View Portfolio ↓ Download CV Get In Touch LinkedIn
Teslim Adeyanju
TA
📊 Power BI Expert
📈 Financial Analytics

Measurable impact delivered

  • Month-end Close: 7 days to 3 days 57% reduction through automated reconciliation, structured Power BI reporting, and streamlined close procedures
  • Forecast Accuracy to ±8.5% Achieved on a £2.3M budget via rolling 13-week cash flow models, variance tracking, and scenario planning
  • Reporting Cycle Cut by 25%, Data Prep by 80% Delivered through ETL automation, Power Query transformation pipelines, and reusable SQL extraction scripts
  • £50K+ Annual Cost Savings Identified through margin analysis, cost centre reviews, and process optimisation across finance operations
  • 60% Drop in Manual Reporting Requests Enabled by self-service Power BI dashboards giving finance stakeholders direct access to live KPIs and variance reports
  • Board-Level Governance Treasurer at Asylos (UK Registered Charity), overseeing financial controls, budgeting, and compliance reporting to the board

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 43%+ 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.

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.

Qualifications

Education & Certifications

Academic excellence paired with current industry certifications across finance, analytics, and cloud platforms.

Academic Background

MSc Finance and Investment Banking — Distinction

University of Hertfordshire, UK (2022–2024)

Top 5% of cohort | HBS Excellence Award 2024 | Student Representative

Grounded in CFA Levels 1 & 2 curriculum, the programme combined quantitative finance, investment analysis, and applied data analytics.

Professional Qualifications
  • Associate Chartered Accountant (ACA) — ICAN | 048671 | Nov 2019
  • Associate Accounting Technician (AAT) — ICAN | 010472 | Dec 2005
Data Analytics & Visualization
  • Microsoft Certified — Power BI Data Analyst Associate (PL‑300) | 2026
  • Microsoft Certified — Azure Data Fundamentals | In Development
Cloud & Data Platforms
  • Databricks Accredited — Lakehouse Platform Fundamentals | 2026
  • HackerRank Certified — SQL (Advanced) | 2026
  • SuperDataScience — Python for Data Analysis | 2025
Accounting & Finance
  • Financial Statement Analysis — Corporate Finance Institute (CFI) | Aug 2021
  • Xero Certified Advisor — Cloud Accounting Platform | 2025

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 23 projects on GitHub 23 repos

Finance analytics · Data engineering · Machine learning

★ FDA PyPI Package
PyPI

FDA Toolkit — Financial Data Preparation Framework

67 Functions · 8 Modules · Production-Ready

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.

Python PyPI ETL Audit
PyPI ↗ GitHub ↗
01 GitHub

NHS Financial Analytics

206 NHS Trusts across 3 financial years · Production 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

UK Immigration Impact Analysis

Immigration Trends · Geographic Analysis · Policy Impact

Comprehensive Power BI analysis of UK immigration data with geographic mapping, trend analysis, and policy impact visualization. Supports government and policy research insights.

Power BI Geographic Data Data Visualization
07 GitHub

AI News Automator

NLP · Web Scraping · Automated Processing

Automated news aggregation and processing system using NLP and machine learning. Web scraping, text analysis, categorization, and intelligent summarization pipeline.

Python NLP Web Scraping
View all 16 remaining projects
#ProjectFocusStack
02Financial Data PipelineETL · Forecasting · TradingPython↗
05UK Mutual Fund PerformanceFund Analysis · Performance—↗
08Diamond Price PredictionEDA · Feature Engineering · MLPython↗
09Superstore Sales PredictionRetail · Forecasting · MLPython↗
10Retail Marketing PredictionMarketing · Consumer BehaviourPython↗
11Salary Prediction (SHAP)ML · Explainability · SHAPPython↗
12Lead Conversion ModelMarketing · ClassificationPython↗
13YouTube Sentiment AnalysisNLP · Sentiment · TextPython↗
14Electricity Demand ForecastTime-series · ForecastingPython↗
15World University RankingEDA · Data AnalysisPython↗
16AI Career CoachAI Agent · LLMHTML/JS↗
17AI News AutomatorAI · Streamlit · AutomationPython↗
18Email AgentAI Agent · AutomationPython↗
19Ollama Local AgentLocal LLM · AIShell↗
20AI Dev Tools ZoomcampDjango · AI DevPython↗
21MySQL Fundamentals to AdvancedCore SQL to Analytics · Python IntegrationMySQL + Python↗

Learning

Study Notes

8 open learning journals — continuously updated on GitHub

GitHub →
Python for Finance
Fundamentals → data pipelines → applied ML. A finance-first approach to Python programming and data analysis.
PythonPandasML
GitHub →
MySQL for Finance
Core SQL to advanced analytics. Relational schemas, CTEs, window functions, and Python–SQL integration.
MySQLSQLAnalytics
GitHub →
R for Finance
Statistical analysis, data modelling, and financial visualisation using R — from syntax to applied finance.
RStatisticsVisualisation
GitHub →
LLMs for Finance
Large Language Models, PyTorch, and GenAI applied to financial analytics, reporting automation, and data extraction.
LLMPyTorchGenAI
GitHub →
Machine Learning for Finance
Regression, classification, and ensemble models for financial forecasting, risk assessment, and portfolio optimisation.
Scikit-learnForecastingRisk
Coming soon
Advanced Excel for Finance
Power functions, pivot tables, financial modelling, and VBA automation for professional-grade finance reporting.
ExcelVBAModelling
Coming soon
Power BI & DAX for Finance
End-to-end financial dashboards, KPI design, DAX measures, and Power Query ETL for management reporting.
Power BIDAXKPI
GitHub →
Statistics & Time-Series
Statistical foundations, time-series forecasting (ARIMA, Prophet), and econometric modelling for financial data.
StatsmodelsARIMAEDA

Learning System: Every valuable insight from 100+ podcast episodes—across AI, career strategy, finance, and data science—gets clipped, tagged, and connected in Notion. No passive consumption. Pure applied learning that compounds over time.  Explore the clips →

Professional Profile

Finance Analyst & Data Professional

  • ACA — Chartered Accountant with qualified financial expertise
  • MSc Finance & Investment (Distinction) — UK University
  • Specializing in Financial Analytics · Power BI · Python · SQL · FP&A
  • Published Python developer — FDA Toolkit on PyPI with production ETL frameworks
  • Board-level governance experience — Treasurer, Asylos (Registered UK Charity)

UK-based · PSW (Graduate) visa held · Available immediately

Notion

Finance & Analytics Notebook

Continuously updated knowledge base: financial concepts, data analytics frameworks, Python patterns, SQL optimizations, Power BI solutions, and learning resources.

Explore → GitHub

Learning Progress & Code

Daily log of skill development: practical code implementations, analysis notebooks, financial models, and documented learning journey with transparent progress tracking.

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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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