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TeslimAdeyanju/README.md

Financial Data Analyst | Chartered Accountant | Turning Financial Data into Strategic Insights

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πŸ” About Me

I’m a Financial Data Analyst and Chartered Accountant with over a decade of experience helping organisations make sense of their financial data and turn it into strategic action.

My work sits at the crossroads of finance, accounting, and data science, where I bring numbers to life and uncover insights that drive better business decisions.

  • πŸ’Ό Chartered Accountant with 10+ years across UK & international firms
  • πŸ“Š Skilled in SQL, Python, R, Machine Learning, Power BI, and Advanced Excel
  • πŸ›  Experienced in building forecasting models, variance analysis, and anomaly detection
  • 🌍 Focus on bridging finance and data science to modernise reporting and strategy

Want to know how much I commit to code every day? πŸ‘‰ Check my WakaTime profile

πŸ’‘ My Mission

To bridge the gap between traditional finance and modern data scienceβ€”creating smarter, faster, and more efficient financial ecosystems that empower confident decision-making.


🧠 Core Expertise & Services

πŸ“ˆ Financial Analytics & Intelligence

  • Predictive Modeling: Machine learning for revenue forecasting & risk assessment
  • Advanced Financial Modeling: Dynamic budgeting, scenario planning & sensitivity analysis
  • Performance Analytics: KPI tracking, variance analysis & profitability optimization
  • Anomaly Detection: Automated fraud detection & financial irregularity identification

⚑ Process Automation & Optimization

  • Workflow Automation: Python & SQL automation reducing manual tasks by 40%
  • ETL Pipelines: Data extraction, transformation & loading for seamless reporting
  • Compliance Automation: UK GAAP, IFRS & HMRC submission workflows
  • Interactive Dashboards: Real-time Power BI visualizations for executive insights

πŸ’Ž Professional Impact & Achievements

🎯 Metric πŸ“Š Improvement πŸ’Ό Business Impact
Reporting Accuracy πŸ”Ό 30% Improved reliability and confidence in decision-making
Receivables Management πŸ”½ 25% overdue Strengthened cash flow and enhanced liquidity control
Process Efficiency πŸ”½ 40% manual work Saved time and reduced operational costs
Forecasting Precision πŸ”Ό 35% accuracy Supported proactive planning and budgeting
Data Processing Speed πŸ”½ 60% time Enabled faster reporting and insight delivery

πŸ› οΈ Technical Arsenal

πŸ’» Programming & Data Science

              

πŸ“Š Analytics & Visualization

        

πŸ’Ό Financial Systems & ERP

πŸ”§ Development Tools

        


πŸ“š Academic Excellence



University of Hertfordshire, UK
πŸ“Š Graduated in the top 10% of class
🎯 Specialization: Quantitative Finance, Financial Modeling, Investment Analysis
πŸ† Focus: Advanced Statistical Methods, Risk Management, Portfolio Theory

πŸ–‡οΈ Featured Portfolio Projects

πŸš€ Project πŸ› οΈ Tech Stack πŸ“ˆ Impact πŸ”— Link
πŸ’Ž Diamond Price Predictor Python, Scikit-learn, Pandas ML model with 95% accuracy View Project
πŸ”„ Customer Churn Prediction Logistic Regression, Flask Deployed ML model for business use View Project
πŸ—„οΈ SQL Mastery Showcase MySQL, Advanced Queries Complete data analysis pipeline View Project
πŸ“Š Financial Dashboard Suite Power BI, DAX, Python Real-time executive reporting [Coming Soon]

βš–οΈ πŸ—“οΈ WakaTime Coding Activity

From: 23 November 2025 - To: 29 November 2025

Total Time: 38 hrs 31 mins

Other      27 hrs 12 mins  β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–“β–‘β–‘β–‘β–‘β–‘β–‘β–‘   70.60 %
Python     3 hrs 58 mins   β–ˆβ–ˆβ–“β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   10.32 %
JSON       3 hrs 20 mins   β–ˆβ–ˆβ–’β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   08.68 %
SQL        3 hrs 8 mins    β–ˆβ–ˆβ–‘β–‘οΏ½οΏ½οΏ½β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   08.15 %
Markdown   21 mins         β–’β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   00.95 %

πŸ† GitHub Analytics


🀝 Let's Connect & Collaborate

πŸ’¬ "Ready to transform your financial data into strategic advantages?"


LinkedIn
Professional Network

Email
Direct Contact

GitHub
Code Portfolio

Stack Overflow
Tech Q&A

  • πŸ” Financial Data Analysis & Reporting: Translate financial data into insights using SQL, Excel, and Python to support strategic decisions.

  • πŸ“ˆ Dashboards & BI Development: Create real-time Power BI and Excel dashboards for performance tracking and reporting.

  • πŸ€– Process Automation: Automate finance tasks with Python, SQL, and Power Query to save time and reduce errors.

  • πŸ“Š Predictive Modeling: Use machine learning to forecast revenue, detect anomalies, and predict customer churn.

  • 🧾 Accounting & Compliance: Prepare accurate reports and ensure regulatory compliance with UK GAAP and IFRS.

  • πŸ’Ό ERP & Systems Support: Manage and optimize finance systems like Xero, Sage, and Dynamics 365.

  • πŸŽ“ Training & Workshops: Teach Python, SQL, and Excel to help finance professionals build data skills.

  • 🌍 Cross-functional Collaboration: Partner with stakeholders across teams to align insights with business goals.


Pinned Loading

  1. 1-Portfolio-MySQL-Journey-Fundamentals-to-Advanced-Mastery 1-Portfolio-MySQL-Journey-Fundamentals-to-Advanced-Mastery Public

    This repository showcases my exploration of MySQL, covering key concepts to advanced. To enhance insights, I’ve integrated Python to connect, query, and transform data into clean, interactive data …

    Jupyter Notebook 1

  2. 5-Portfolio-SuperStore-Sales-Analysis-and-Prediction-A-Data-Science-Approach 5-Portfolio-SuperStore-Sales-Analysis-and-Prediction-A-Data-Science-Approach Public

    In this project, I apply machine learning techniques to analyze SuperStore’s data, uncover meaningful insights, and forecast future performance. Using Python’s powerful libraries, I identify the ke…

    Jupyter Notebook 1

  3. 6-Portfolio-Stock-Market-Analysis-of-Tech-Giants-Using-Python 6-Portfolio-Stock-Market-Analysis-of-Tech-Giants-Using-Python Public

    I am currently analyzing a portfolio of GOOGL, AMZN, AAPL, and MSFT, evaluating daily returns, volatility, and the Sharpe ratio. Additionally, I’m using a Monte Carlo simulation to project the port…

    Jupyter Notebook 1 1

  4. 2-Portfolio-Machine-Learning-Journey-in-Financial-Data-Analysis- 2-Portfolio-Machine-Learning-Journey-in-Financial-Data-Analysis- Public

    I am exploring machine learning in financial analysis, using regression for trend prediction, classification for risk assessment, and ensembles for portfolio optimization. I also leverage Kubernete…

    Jupyter Notebook 1