At Home Credit, I integrated Account Aggregator and credit bureau data into the BLAZE underwriting workflow, strengthening credit risk assessment and underwriting decisions. I also supported risk monitoring by analysing credit scores, DPD, obligations, utilisation, and recent enquiries.
I owned end-to-end data migration from legacy systems to production, with 99%+ data retention. I also designed data marts and automated backend processes, achieving 90%+ process automation and reducing downstream rework by 80%+.
Previously, at Skewb Analytics, I built Python and BigQuery data pipelines that cut manual reporting effort by 90%, and launched executive BI dashboards that improved decision-making speed and accuracy by 40%. My work has also included forecasting models, ad targeting analysis, and a healthcare billing forecast and anonymization project.
