Developed end-to-end credit risk models compliant with IFRS 9 regulations for retail and corporate credit portfolios impacting 150bn USD+ credit portfolio.Impacted bottom line of the bank through state-of-the-art methodology to cure volatility in provision model outputs.Developed frameworks that assist in origination strategy of lending book.Developed end-to-end stress testing methodology for retail mortgage portfolio of size 100bn+ USD.Developed Model monitoring framework of IFRS9 PD LGD modelsLed various productivity enhancement activities to reduce FTE hours by 33% in modelling teams.Developed low latency fraud detection ML model on a high volume transaction portfolio.

Was part of a pioneering healthcare data engineering project for a large health insurerDeveloped end-to-end data pipeline to transform CSV data of a health insurance client to FHIR(Fast Healthcare Interoperability Resources) standard compliant JSON format for 6 LoBs of the clientDeveloped the pyspark code that formed the engine of data transformation for files containing 10mn rowsAutomated and parametrized the data transformation pipeline using Azure data factory

Impacted 10mn+ insurance policies during digital transformation of a large US based insurer.Ensured the digital workflows of insurance products remain as per business requirement.