Mohan Sai Ravilla

Data Analyst @Cardinal Health

US

Collaborated with supply chain and operations teams to understand reporting needs and built end-to-end data pipelines using Python and SQL to support inventory tracking, shipping timelines, and order fulfillment metrics. Created dynamic Tableau dashboards for supply chain leadership, enabling live monitoring of stockouts, delayed shipments, and vendor performance, which improved visibility and reduced response time by 40%. Automated weekly and monthly reporting workflows by writing Python scripts for data cleaning and transformation, significantly reducing manual processing time and data errors by over 30%. Designed scalable, cloud-based data solutions using AWS Redshift and GCP BigQuery to manage large volumes of order and logistics data, improving data retrieval speeds and storage efficiency. Conducted root cause analysis on delayed deliveries and fulfillment issues by combining SQL-driven reports and stakeholder interviews, helping the operations team implement corrective actions. Developed Excel-based forecasting templates integrated with external data sources, enabling territory managers to simulate different cost and demand scenarios for quarterly planning. Partnered with business analysts to ensure KPIs (e.g, delivery accuracy, fill rate, cost per shipment) were tracked consistently and reflected in executive dashboards and reports.

Pace University - Seidenberg School of Computer Science and Information Systems

Graduate

Lovely Professional University

Bachelor of Technology - BTech