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Explore the Portfolio of Shrey Iyengar

My Proposals and articles 

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Data Strategy for Financial Intelligence Unit, Min. of Finance, Govt. of India

The document outlines the solution design specifics for the FIU Case Network database, which is set up on Neo4j Enterprise and visualized through the Linkurious Graph visualization tool. This formed the basis for the data modeling strategy and the data migration strategy, to migrate the data from the exisitng MSSQL systems into the graph database

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Asset Management for Advanced Analytics Platform Solution for Severn Trent Water

The document outlines a comprehensive wastewater analytics and visualization platform proposed by Softlink Analytics for Severn Trent Water. ​ The solution integrates advanced technologies to manage, analyze, and visualize wastewater data, aiming to enhance operational efficiency, proactive maintenance, and environmental compliance. ​

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Technical Proposal for POC to  Digitize Process Flow Diagrams and Generate New Design documents using GenAI Powered Knowledge Graph

The document is a technical proposal for a 3-part design document generation project, focusing on the digitization and generation of process flow diagrams (PFDs) using advanced AI techniques. ​ The project is divided into three Proofs of Concept (POCs)

Creation of a knowledge graph where the network graph is at the center and lots of differe

Value Proposition for Digitization of Process Flow Diagrams (PFDs) and Process and Intrumentation Diagrams (P&IDs)

This docuement outlines the value proposition of digitization and knowledge graph creation of static process flow diagrams. It highlights the main use cases and key benifits of having a digital twin that analysis new data in real time and shows a corelations with historic data. 

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Digital Twin Whitepaper

The document discusses the concept of Digital Twin, focusing on asset data modeling. ​ A Digital Twin consists of a data model, a set of analytics or algorithms, and knowledge, which can be captured in a semantic model. ​ Semantic models contextualize complex data, aiding data scientists by pre-clustering information. ​ The document uses thermal power generation plants as examples and shows how the principles can be applied to other industries.

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