Sayan Samanta

Sayan is Senior SAP Technology Consultant in EY India. Sayan has 7+ years of experience including of SAP Experience and served clients in Medical, Cement, Logistics, telecom, Pharmaceuticals ,tobacco industry , Govt Project and joined . Sayan has extensive working knowledge in SAP ABAP Module , Integration and S4 Hana . Sayan has also successfully delivered 3 Migration project and 3 green field projects.

• Certified Specialist - ABAP on HANA 2.0
• Certified in Side By Side Extensibility on BTP
• Certified in SAP Activate Project Manager

Riyadh, Saudi Arabia Govt. Project

• Saudi Arabia Government SAP Implementation
• Cement Industries
• Pharmaceuticals
• Telecom Industries

• SAP ABAP with BTP, RAP, Workflow, API Integration
• S4 Hana Migration
• S4 Hana Green Field Implementation

• SAP ECC
• S4 Hana with RISE
• S4 Hana 1809
• S4 Hana 1909

• Objective: Develop a customer order management system where customers can place, update, and track orders.
• SAP RAP: Use RAP to create an OData service to handle CRUD operations for customer orders, products, and customer data.
• SAP BTP: Integrate the service with an SAP Fiori UI deployed on SAP BTP. Additionally, use SAP BTP's integration services to connect with an external logistics system for tracking shipments.

• Objective: Automate the processing of supplier invoices with machine learning and RAP.
• SAP RAP: Build an API to handle supplier invoices' creation, validation, and approval using RAP.
• SAP BTP: Implement a machine learning model on SAP BTP to automatically classify and extract data from invoices. The model is trained using SAP AI Core and SAP AI Foundation. Integrate the model's output with the RAP service for processing.

• Objective: Monitor and analyze the performance of industrial equipment using IoT data.
• SAP RAP: Develop a service using RAP to manage equipment data, including real-time status and historical performance logs.
• SAP BTP: Use SAP IoT services on BTP to gather data from sensors attached to equipment. Create a predictive maintenance model using SAP Data Intelligence on BTP and integrate it with the RAP service to trigger alerts and maintenance requests.

• Objective: Build a system to analyze sales data and generate forecasts.
• SAP RAP: Develop services to manage sales data, customer data, and forecasting results.
• SAP BTP: Use SAP Analytics Cloud (SAC) on BTP for advanced analytics and visualization. Create a data pipeline using SAP Data Intelligence to integrate historical sales data into SAC. The forecasts generated can be exposed via the RAP service to other systems.