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Building Graph Intelligence @neo4j
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
neo4j
Data Scientist
June 22, 2026 – Present
create-context-graph
March 22, 2026 – Present
AI agents with graph based reasoning memory, scaffolded in seconds
View Projectneo4j-skills
January 20, 2026 – Present
Neo4j Skills for Coding and other Agents including Cypher
View Projectcontext-graph-demo
January 9, 2026 – Present
AI-powered Decision Tracing For Financial Institutions
View Projectagent-memory
January 6, 2026 – Present
A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.
View Projectoffshoreleaks-data-packages
October 26, 2021 – December 4, 2023
Tools to produce and share the downloadable Neo4j packages and guides
View Projectwillow-grandstack
May 28, 2020 – October 25, 2020
Real Estate search application using GRANDstack!
View Projectfullstack-graphql-book
October 22, 2019 – February 1, 2023
Code and exercise solutions from the book Full Stack GraphQL Applications, published by Manning
View Projectrussian-twitter-trolls
November 11, 2017 – January 16, 2018
Scraping Tweet data for Russian Troll Twitter accounts into Neo4j
View Projectneo4j-datasets
December 20, 2016 – November 1, 2020
Interesting datasets to use with Neo4j
View Projectnlp-graph-notebooks
June 17, 2015 – January 17, 2016
IPython companion notebooks for blog posts about Natural Language Processing on lyonwj.com
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards open-source contributions and exploring diverse applications of graph technology and AI. This indicates a proactive and curious mindset. However, the projects are heavily focused on Neo4j and graph-related technologies, which, while a strength, might suggest a narrower breadth of experience in other common data science domains (e.g., traditional machine learning, big data platforms beyond graph). The target role is 'Data Scientist', and while graph data science is a niche, the candidate's profile aligns well with roles requiring expertise in graph-based AI and data modeling. The experience level is 0, which contradicts the current role as 'Data Scientist' at Neo4j, suggesting a data inconsistency or a very recent entry into the role. This inconsistency impacts the cultural fit assessment as it's unclear if the candidate is truly senior or entry-level.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.