I’m a data scientist with a strong track record in Python-based analytics, predictive modeling, and delivering end-to-end insights for data-driven decision making. I translate complex analyses into clear, actionable recommendations for non-technical stakeholders and thrive in fast-paced, remote environments. I also bring a solid foundation in applied machine learning, time-series analysis, and data visualization, with a focus on practical impact and measurable outcomes.
In prior roles at Guomin Pension Insurance and Heng An Standard Life, I built scalable analytics pipelines, improved forecast stability, and supported digital innovation through ad-hoc analyses and dashboard development. I’m skilled at feature engineering, model governance, and communicating results to cross-functional teams to drive business decisions.
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