• Analyzed data related to daily loads, payments, supply chain management, profit and loss on loads, driver records, brokerrecords, and tracking systems.• Developed and maintained comprehensive data models using AWS S3 buckets and Databricks to support logistics operations,ensuring data accuracy and consistency.• Created interactive dashboards and reports in Power BI and Tableau to provide clear insights into logistics data, enhancingdecision-making processes.• Collaborated with logistics and operations teams to identify data needs, deliver customized reports, and provide actionableinsights to optimize operations.• Utilized SQL and Excel for data analysis, identified trends and patterns, and supported strategic initiatives in logistics management

• Developed and deployed robust data pipelines for a machine learning application to classify CT scan images for lung cancerdetection, enhancing diagnostic accuracy and streamlining data processing workflows.• Created interactive dashboards and visualizations in Power BI and Tableau, providing clear insights and enhancing reportingefficiency. These dashboards enabled stakeholders to quickly interpret data trends, identify key performance indicators, andmake informed decisions.• Integrated CT scan data and created tailored reports in cooperation with medical experts and cross-functional teams, ensuringdata consistency and accuracy.• Conducted thorough data analysis and visualization using Python, Power BI, and Excel, identifying important trends and patterns to assist strategic goals in healthcare diagnostics.• Collaborated with cross-functional teams to identify data needs, delivered customized reports, and provided data-driven insights to support decision-making processes.