In this project we have cleaned and processed the data extracted from USCIS website, which includes all the details and information for US Visa applications from year 2011-2016. Then have created a data model based on the dataset and using which created a database in Neo4j, which is a graph database and best for problem-solving and analysis. The data was loaded into Neo4j using Cypher queries. Then, built a data pipeline for connecting Neo4j to Python and built an interactive dashboard for better insights. Finally, implemented acceptance and integration testing for data and system validation.
