Yu Li Email & Phone Number

Seattle, Wa, Us

Seattle, Wa, Us

• Developed supervised machine learning model (XGBoost) and mixed integer programming on AWS to optimize warehouse location selection, enhancing model accuracy by 20% over benchmark model.• Constructed a structural time series model to assess short-term hiring risks, utilized double machine learning to estimate the causal elasticity of incentives, and formulated a mixed integer programming to mitigate hiring risks at minimal cost, resulting in a 10% increase in candidate conversion rate and a 30% reduction on cost per hire.• Architected a content-based filtering job recommendation system, leading to a 25% increase in candidate conversion rates verified by randomized A/B testing.• Led the evaluation of scientific models and marketing strategies using advanced causal inference methodologies (A/B testing, synthetic difference in difference, and double machine learning).• Innovated and implemented an AutoML toolkit, which significantly streamlined the process algorithm selection, hyperparameter tuning, and model evaluation.• Implemented data visualization solutions by deploying Quicksight and Tableau dashboards to surface critical business insights and automated complex data ETL pipelines, enabling the efficient handling of large-scale data.

New York, Ny, Us

• Led the advancement of marketing analytics by engineering sophisticated statistical models using machine learning techniques (LGBM, Clustering) and time series analysis (Prophet, SARIMA). • Developed multi-touch channel attribution frameworks employing Markov chain and time decay models, resulting in a granular understanding of customer journey and a measurable increase in marketing ROI.• Orchestrated marketing campaign evaluations, leveraging experimental design and complex causal inference methodologies (A/B testing, Difference in Difference, Interrupted Time Series).• Deployed interactive data visualization dashboards for business intelligence reporting, transforming complex data into actionable insights, thereby enhancing decision-making processes and guiding strategic marketing efforts.• Fostered a cross-functional partnership with the global marketing division to standardize and commercialize analytical models, ensuring the deployment of scalable and consistent analytical practices across various regions.

New York, Ny, Us

• Constructed credit card spending prediction models utilizing advanced time series forecasting techniques (Prophet, ARIMA), achieving a remarkable monthly forecast accuracy with an error rate consistently below 3%.• Pioneered the development of dynamic business strategies to enhance the distribution of credit card accounts, employing data-driven methodologies to ensure optimal channel allocation and maximize account profitability.• Facilitated cross-departmental collaboration with account management and product development teams to execute deep-dive analyses on spending patterns and account attrition post-product modification.

Master Of Science - Ms, Financial Engineering

Bachelor Of Science - Bs, Mathematics / Economics / Statistics