ChainAnalysis

This project focused on conducting an in-depth study and data analysis of cryptocurrency transactions, specifically within the Ethereum network. The primary objective was to analyse token transactions by downloading and processing large datasets from the Ethereum blockchain. The system architecture included a file processor to automate the workflow of downloading, unzipping, parsing data, uploading backups to Azure Blob Storage, and populating a Neo4j graph database. A multi-layered system (Core, Data Access, Data, and Business) was then used to perform advanced analysis through Neo4j queries, combined with machine learning techniques for forecasting and anomaly detection.

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