Somyaa Rastogi Email & Phone Number

Seattle, Wa, Us

Princeton, New Jersey, United States

Mumbai, Maharashtra, India

• Built a Transportation Planning System for client's warehouses, handling shipments worldwide. Leveraged Microsoft Azure Cloud Blob Storage and Azure Virtual Machines boosting system reliability by 25% and decreasing downtime by 20%.• Devised an efficient logistics optimization algorithm, reducing transportation costs by 25% ($10M annually) and improving delivery efficiency by 30%, resulting in a 10% reduction in empty truckloads and improved resource utilization.• Employed mathematical modeling and optimization techniques to minimize shipping distances, optimize carrier capacities and resources, decreasing the average delivery time from 5 days to 4 days.

Mumbai, Maharashtra, India

• Implemented microservices-based architecture for client’s e-commerce platform using Java and Spring Boot reducing time to market by 40% through parallel development and deployment of microservices, enabling faster feature releases and iterations.• Improved system scalability by implementing containerization with Docker and orchestration with Kubernetes, allowing the system to handle a 300% increase in concurrent user traffic without performance degradation.• Reduced API response time by 50% through efficient REST API contract design, caching, and optimization techniques, and ensured smooth transitions and minimised disruptions during service updates with API versioning and backward compatibility.• Developed a scalable distributed inventory management system using Java, Cassandra, and Kafka reducing operational costs, leading to 5% increase in profitability ($4M additional net income).• Implemented Order Management System using Java and Spring Boot achieving 30% reduction in average order processing time, reduced operational costs by 20% through automation and annual savings of $75,000.• Utilized JavaScript, ReactJS, and GraphQL to fetch and display real-time order updates. Integrated with backend APIs to retrieve shipment information. Implemented push notifications for status changes using WebSocket technology.• Built a demand forecasting system using statistical modeling and data analysis to analyze product demand, shipping routes, and carrier capacities achieving 95% accuracy rate in predicting product demand.• Designed forecasting models using time series analysis, regression, and machine learning algorithms leading to 15% reduction in inventory shortages ($5M savings) and 10% decrease in excess inventory ($3M savings).• Integrated demand forecasting with inventory management system, resulting in 15% reduction in carrying costs, improving customer satisfaction by 15% and 10% increase in customer retention ($8M additional revenue).

Master'S Degree, Computer Science, 3.6

Activities and Societies: Association for Women in Computing, BestBuddies

Bachelor'S Degree, Electronics Engineering, 9.03/10