Beijing, China

- Developed machine learning models that improved customer churn prediction accuracy by 35%, enabling targeted retention strategies.
- Designed and implemented data pipelines, reducing data processing time by 50% and enhancing reporting efficiency.
- Conducted advanced statistical analyses and A/B testing to guide product development and marketing strategies, driving a 20% increase in revenue.
- Collaborated with cross-functional teams to integrate AI solutions into operational workflows, saving over 2,000 labor hours annually.
- Presented data-driven insights to stakeholders using compelling dashboards and visualizations created in Tableau and Power BI.

Beijing, China

- Analyzed large datasets to identify trends and patterns, supporting strategic decision-making for business growth.
- Automated routine reporting processes using Python, reducing manual effort by 40%.
- Built predictive models for inventory optimization, leading to a 15% reduction in holding costs.
- Conducted data cleansing and preparation to ensure the integrity and accuracy of analysis results.
- Supported the transition to cloud-based data solutions, improving data accessibility and collaboration across teams.