michelle michelle

I am a data scientist with over three years of hands-on experience delivering production-ready analytical and machine learning solutions that drive measurable business outcomes. I combine a strong foundation in statistics and applied mathematics with practical expertise in Python, SQL, predictive modeling, and hypothesis testing.

I have owned end-to-end analytics lifecycles — from problem framing and data discovery to modeling, validation, automation, and decision support — while partnering closely with Product, Risk, and Business stakeholders. My work has included building credit scoring models, automating data pipelines and marts, and deploying dashboards that reduced manual effort and improved decision quality.

Notable achievements include automating validation and cleaning pipelines (30% efficiency gain), designing SQL-based data marts and dashboards (40% reduction in manual effort), and delivering predictive models and experiments that increased approval rates by 60% while reducing bad accounts by 40%.