Teslim
Adeyanju

Financial Data Analyst for FP&A and commercial finance

ACA-qualified finance professional who builds automated reporting, forecasting and Power BI solutions that improve decision-making.

Power BI SQL Python Excel Financial Modelling
View Finance Projects ↓ Download CV Get In Touch LinkedIn
Close process
7 days → 3 days
Forecasting
±8.5% on £2.3m
Savings identified
£50k+ annually
Reporting cycle
25% faster
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

How I help

Better finance decisions, backed by reliable data

Automate reporting

Replace manual, repeatable reporting tasks with governed Power BI, SQL and Python workflows.

Strengthen forecasting

Build practical budgets, rolling forecasts and variance analysis that make financial performance easier to act on.

Improve data confidence

Design clear data models, validation steps and audit trails that stakeholders can trust.

Qualifications

Education & Certifications

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

Teslim Adeyanju

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)
  • Associate Accounting Technician (AAT)
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

Four finance-focused case studies, followed by supporting technical work.

★ FDA PyPI Package
PyPI

FDA Toolkit — Financial Data Preparation Framework

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.

Python PyPI ETL Audit
PyPI ↗ GitHub ↗
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

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 14 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↗
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↗
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.

View →

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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