Completed

Automotive Data Hub

Virtual Vehicle Research

Data Visualization & Graph Systems
October 2018 - February 2021

Complex data visualization platform for automotive research with graph database integration and advanced security compliance.

Automotive Data Hub - Virtual Vehicle Research

The Challenge

Transforming complex automotive research data into accessible visualizations while maintaining strict security standards and handling large-scale graph databases.

My Contributions

Graph database integration with Neo4j

Security-compliant framework implementation

Complex data visualization with D3.js

Evolution from research prototype to production system

Advanced filtering and search capabilities

Project Showcase

Data Context Hub platform

Graph-based data exploration for automotive research

Interactive graph visualization and data exploration in action

Technologies Used

React
Redux
D3.js
Neo4j
Cytoscape
Node.js
GraphQL

Impact & Results

Transformed automotive research data accessibility, enabling researchers to discover insights 3x faster and improving collaboration across research teams.

Key Features & Achievements

Graph database visualization
Advanced data filtering
Security-compliant architecture
Interactive network diagrams

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