Xuecheng Zhang

Data Analyst @Jitsu

Developed ARIMA-based time series forecasting models using SQL and R to predict regional driver demand, applying historical shipment and route data to inform capacity planning and optimize recruitment strategy, resulting in a 54.12% reduction in hiring costs and a 50% increase in driver engagement Designed and executed multi-arm A/B experiments across dynamic pricing models, and in-app engagement features, collaborating with leadership and leveraging Python to analyze user behavior and optimize monetization strategies, resulting in a 12% increase in driver retention and a 22% lift in average LTV Built real-time reporting systems and KPI dashboards using Tableau and Looker Studio, leveraging trend analysis and performance benchmarking to empower transportation and warehouse teams to execute strategic initiatives that increased productivity by 26% and reduced delivery costs by 7.38% Led the development of a shipment volume forecasting model in Python to streamline operational planning, collaborating with stakeholders and mentoring team members through structured onboarding, and detailed documentation to ensure long-term team continuity and autonomy Partnered with IT and finance teams to design and deploy a DSP payment portal, automating invoice validation and cost computation through SQL-based logic, reducing processing time by 80% and saving $100K in labor and billing inefficiencies