Eva aims to leverage data-driven insights to optimize its operations and enhance decision-making. The current data infrastructure contains valuable information on deliveries, driver performance, customer demand, and operational efficiency. However, extracting actionable insights from this data remains a challenge. This project focuses on improving data collection, visualization, and analysis to support strategic and real-time decision-making. Interns will work on cleaning and structuring datasets, developing dashboards, and implementing predictive models to identify trends and optimize logistics. This opportunity allows learners to apply their skills in data analysis, statistical modeling, and business intelligence tools to drive meaningful impact within a fast-paced, real-world environment.

The project deliverables for the data analysis internship include a well-structured data pipeline that cleans and organizes raw operational data for analysis. Interns will develop interactive dashboards using business intelligence tools to visualize key metrics such as delivery efficiency, driver member performance, and customer demand trends. Additionally, a detailed analytical report will be provided, outlining key insights, patterns, and recommendations for operational improvements.