At Synpulse, I introduced materialised views in Snowflake where repeated heavy aggregations justified the maintenance cost, speeding up affected processes by up to 30%. I also built Dataiku DSS flows for actuarial data extraction and visualisation, and automated calculations that had outgrown Excel.
As an Independent Consultant, I built a Python reconciliation tool that matched accounting data from manual SAP CSV exports against insurance database extracts. It flagged differences for the finance team to review and adjust, saving 36 working hours per reconciliation cycle.
At Banque Internationale à Luxembourg (BIL), I engineered and industrialised automated regulatory risk calculation engines with end-to-end data lineage and reproducible pipelines. I built and maintained Dataiku and SQL transformation logic and semantic models for IFRS 9 and Basel III calculation layers.
Earlier, I designed Solvency Capital Requirement and IBNR calculation models at Actuam S.A.R.L. and built SAS ETL programs for credit risk parameters at BV-Tech S.p.A. I hold a Master’s Degree in Statistical and Actuarial Science and have worked across insurance, banking, risk analytics and regulatory reporting.
