• Lead the end-to-end model development project of predicting customer behavior to drive marketing strategy, including query data of interest from GCP (Google Cloud Platform), clean and preprocess data, feature engineering, and modeling. • Develop models to predict the probability of purchasing overall and within product categories for millions of existing customers with logistic classifier, XGBClassifier, and random forest classifier. • Develop models to predict existing customers’ spending within the next 12 months with linear regression, XGBRegressor, and random forest. • Evaluate models and fine-tune parameters with various metrics including R-squared, MSE, RMSE, log-loss, Confusion Matrix, accuracy, precision, recall, F1-score, ROC curve.

· Founded the subsidiary company in California, and managed a team including 5 departments and 30 employees.· Conducted market analysis and created business strategies, completed over 2000 deals over the first two years with an annual increase rate of 72.90%, and maintained a 200% annual increase rate of gross profit. · Established partnerships with over 30 partners including corporations and individual homeowners, and signed 130+ master-lease agreements and referral agreements.

· Worked with Sales, Marketing, Property Management, and Finance teams to make high-quality datasets available to stakeholders. · Developed and maintained data pipelines that retrieved, compiled, formatted, and combined data from multiple sources. · Prepare and present weekly reports and business insights that helped the team and leadership understand the performance of the business and identify action points. · Utilize data visualization and descriptive statistics to create reports that met business partners’ requirements. · Made recommendations for metrics, techniques, and strategies to improve team performance and measurement. · Collected and acted upon feedback from business operations, and fixed performance issues, data replication, and other common issues.

· Taught Business Economics Tutoring Class and Math, Statistics, Economics, and Physics tutoring classes for undergraduate students.· Held Undergraduate Preparation Session to track students’ performance and provide advice and help.· Gave presentations and shared college experiences to help incoming students be adapted to college life.