Experience in Neo4j (4+ years):
I have over four years of experience working with Neo4j, a leading graph database platform. My work has involved designing and implementing graph-based solutions for real-world use cases such as fraud detection, social network analysis, and recommendation systems. I have strong expertise in graph data modeling, writing complex and optimized Cypher queries, and fine-tuning database performance for large-scale graph structures. I’ve extensively used Neo4j features like APOC procedures, full-text search, and data visualization tools to deliver actionable insights. Additionally, I have experience integrating Neo4j with backend systems using Java and Python, enabling real-time data processing and reporting.

Neo4j Training Offering:
I provide structured Neo4j training programs designed for professionals at beginner to intermediate levels. The training covers core Neo4j concepts, including graph modeling, Cypher querying, data import/export, and performance tuning. Sessions are hands-on, with live examples that simulate real business scenarios. Participants learn how to build, query, and maintain graph databases efficiently. The training also includes tips on using APOC utilities, managing large datasets, and avoiding common pitfalls in production environments. Depending on the audience, training can be delivered through live online sessions, in-person workshops, or customized self-paced modules.