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.
I specialise in using tools like SQL, Python, R, Machine Learning, Power BI, and Advanced Excel to analyse performance, streamline reporting, and build forward-looking models that support forecasting, risk assessment, and investment planning. From working with UK-based firms to international organisations, I’ve helped teams modernise traditional finance functions, reduce manual workload, and deliver insights that improve both financial control and commercial impact.
I combine deep financial knowledge with technical skills to build systems that are not only accurate and compliant with UK GAAP and IFRS, but also intelligent, adaptable, and aligned with business goals.
To bridge the gap between traditional finance and modern data science—creating smarter, faster, and more efficient financial ecosystems that empower confident decision-making.
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| 🎯 Metric | 📊 Improvement | 💼 Business Impact |
|---|---|---|
| Reporting Accuracy | 🔼 30% | Improved reliability and confidence in decision-making |
| Receivables Management | 🔽 25% overdue | Strengthened cash flow and enhanced liquidity control |
| Process Efficiency | 🔽 40% manual work | Saved time and reduced operational costs |
| Forecasting Precision | 🔼 35% accuracy | Supported proactive planning and budgeting |
| Data Processing Speed | 🔽 60% time | Enabled faster reporting and insight delivery |
University of Hertfordshire, UK
📊 Graduated in the top 10% of class
🎯 Specialization: Quantitative Finance, Financial Modeling, Investment Analysis
🏆 Focus: Advanced Statistical Methods, Risk Management, Portfolio Theory
| 🚀 Project | 🛠️ Tech Stack | 📈 Impact | 🔗 Link |
|---|---|---|---|
| 💎 Diamond Price Predictor | Python, Scikit-learn, Pandas | ML model with 95% accuracy | View Project |
| 🔄 Customer Churn Prediction | Logistic Regression, Flask | Deployed ML model for business use | View Project |
| 🗄️ SQL Mastery Showcase | MySQL, Advanced Queries | Complete data analysis pipeline | View Project |
| 📊 Financial Dashboard Suite | Power BI, DAX, Python | Real-time executive reporting | [Coming Soon] |
From: 09 August 2025 - To: 16 August 2025
Total Time: 9 hrs 33 mins
Python 8 hrs 56 mins ███████████████████████▒░ 93.50 %
Markdown 36 mins █▓░░░░░░░░░░░░░░░░░░░░░░░ 06.43 %
Other 0 secs ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.06 %
Text 0 secs ░░░░░░░░░░░░░░░░░░░░░░░░░ 00.01 %
Professional Network |
Direct Contact |
GitHub Code Portfolio |
Stack Overflow Tech Q&A |
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🔍 Financial Data Analysis & Reporting: Translate financial data into insights using SQL, Excel, and Python to support strategic decisions.
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📈 Dashboards & BI Development: Create real-time Power BI and Excel dashboards for performance tracking and reporting.
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🤖 Process Automation: Automate finance tasks with Python, SQL, and Power Query to save time and reduce errors.
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📊 Predictive Modeling: Use machine learning to forecast revenue, detect anomalies, and predict customer churn.
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🧾 Accounting & Compliance: Prepare accurate reports and ensure regulatory compliance with UK GAAP and IFRS.
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💼 ERP & Systems Support: Manage and optimize finance systems like Xero, Sage, and Dynamics 365.
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🎓 Training & Workshops: Teach Python, SQL, and Excel to help finance professionals build data skills.
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🌍 Cross-functional Collaboration: Partner with stakeholders across teams to align insights with business goals.