Chartered Accountant | Financial Data Analyst | Python & Analytics Automation | Open Source Contributor
Built and published an enterprise-grade Python toolkit for financial data professionals. The package delivers 67+ production-ready functions for data cleaning, validation, profiling, and audit-ready pipelines, reducing manual data work and improving analytical reliability.
Install: pip install fda-toolkit
Why FDA Toolkit Matters: This toolkit reflects how I approach financial analytics in practice: reusable systems, strong data controls, and outputs that stakeholders can trust.
Key Features:
- ✅ 67 production-ready functions across 8 intelligent modules
- ✅ Full type hints with IDE autocomplete throughout
- ✅ Compliance-ready with automatic audit logging & traceability
- ✅ Finance-aware validation for real-world workflows
- ✅ One-line pipelines for complex data transformations
- ✅ Enterprise quality — error handling, security, memory optimization
Languages
Python, SQL, R
Analytics & BI
pandas, scikit-learn, Power BI, Advanced Excel
Finance Systems
Xero, Sage 50, Business Central
Engineering & Distribution
GitHub, Docker, PyPI
Chartered Accountant with 10+ years in financial analysis, forecasting, and reporting automation.
I specialise in turning messy financial data into reliable, automated analytics systems using Python, SQL, and strong financial controls.

