• Support, mentor and motivate our associates and process assistants to work safely and efficiently.• Monitor inbound and outbound data and allocate our associates and trailers to right position to get our target TPH• Collaborate with our support team including Safety, Operation, Technical Teams and Human Resources to develop and adjust our daily plan to meet our business objects.

• Processed, cleaned and verified the integrity of over 10k rows of data used for analysis• Calculated and evaluated A/B Testing results in Python to adjust customized promotion strategy for target customer base, led to 85% of customer satisfaction• Trained Time Series Regression Model to analyze and forecast the seasonality data for tracking the customer behaviors regarding number of orders, provided insights for marketing campaign• Led team on a project to use SQL and Python to organize databases in accordance with business objectives

• Reviewed emerging markets in e-commerce, conducted SWOT analysis of existing products; carried out product diversification strategy, increasing sales by 40%• Monitored marketing funnels and customer feedback regularly; implemented effective strategy with analytics team for each step, increasing funnel conversion rate by 80%• Accomplished pricing and product evaluation with team leader monthly to ensure price are in line with target profit margin• Managed inventory storage and adjusted the ROP of popular products regularly to ensure all items consistently remain in stock, increasing profit by 20%• Trained unsupervised machine learning model K-means clustering to classify the customers on popular products into 7 precise clusters, reducing campaign cost by 30%