Demand-Supply Imbalance Insights:Conducted spatiotemporal analysis to identify unmet demand during specific times and locations. Proposed targeted recommendations to address these gaps, with historical data validating that the prioritization reduced unmet demand by 2%.

Demand Forecasting: Developed a machine learning model to predict demand in non-service counties and districts across various service levels. This work helped optimize resource allocation and drive business growth.Operation Saving: Developed an operational research method to assess the relationship between battery supply and user demand. The model's results helped the operations team save more than 25% on infrastructure costs.BI Construction for Marketing Analysis: Identified critical metrics based on marketing challenges and designed a Business Intelligence (BI) dashboard to effectively track, monitor, and analyze key performance indicators. This resulted in data-driven decision-making and improved marketing strategies.Data Pipeline Construction with Airflow: Built a data pipeline using Airflow to transform data from our backend team's database. Designed the pipeline to ensure data stability and correct insertion into our analysis table in BigQuery.

Data Visualization and Operational Intelligence: Developed operational dashboards using Tableau, providing the local government with insights into public transportation conditions, enabling them to better support private enterprises.Key Metrics Identification for Public Transportation: Determined key metrics to provide clear insights into public transportation service situations, facilitating local government's understanding and decision-making process.Project Management and Cross-Functional Collaboration: Led project management efforts, ensuring on-time delivery. Facilitated cross-functional communication with backend and frontend engineers to align project direction and resolve issues.