About
Quantitative training, analytical practice, systems thinking.
Quantitative researcher by training, with practical experience across data analysis, risk modelling, and production data work.
Most of the work has lived in finance, remittance, banking, and insurance settings where data definitions, reconciliation, and reporting quality matter.
The approach is systems-oriented: understand how the data is generated, where it breaks, and how it should behave before turning it into reporting or decision support.
Working Areas
Functional analysis across end-to-end data flows
Finance and operations reporting support
Reconciliation logic and anomaly detection
Analytical SQL and workflow design
Spark and PySpark for heavier preparation work
Statistical and machine-learning training