My name is Dr. Clair Sullivan and I am the Founder and CEO of a freelance data science consulting company, Clair Sullivan and Associates, LLC. You can find my resume, speaker bio, etc. here (as one of my pinned repos). My most recent past roles include the Director of Data Science at Vail Resorts, Data Science Advocate at Neo4j, and Machine Learning Engineer at GitHub. I am a 100% remote worker and have been for several years before COVID-19. I love where I live in the mountains of Colorado and have no interest in moving!
I also have returned to school at the University of Wisconsin to work on my MBA. Degree number 5...very excited!
- Best Practices for Creating a Data Science Team, September, 2024 remote presentation to Data Umbrella
- Ensuring Success for your Graph Team, March, 2024 online presentation to Graph Geeks
- Data Culture: The Make-It-Or-Break-It of Successful Data Teams, February, 2024 at the Winter Institute on Medical Physics, Breckenridge, CO (slides only)
- Arrays, Linked Lists, and Graphs: Why Connecting Your Data Makes Sense, March, 2022, presentation to Data Umbrella
- Machine Learning Enabled by Network Graphs: The Power of Connecting Your Data, January, 2022, Kubeflow and MLOps meetup
- Working with Data in a Connected World: the Power of Graph Data Science, remote workshop to PyData Global, October, 2021
- Creating a Knowledge Graph with Neo4j: A Simple Machine Learning Approach, September, 2021 live rerun of NODES 2021 remote, interactive workshop with updated content
- Creating a Knowledge Graph with Neo4j: A Simple Machine Learning Approach, June 2021 live remote workshop at Neo4j NODES 2021
- Graph Analytics and Graph-based Machine Learning, remote presentation to AI Camp, 2021
- Going from Text to Knowledge Graphs: Putting Natural Language Processing and Graph Databases to Work, remote workshop at the 2021 Open Data Science Conference East
- Invited talk on GitHub and Deep Learning on Graphs of Code at the Data Innovation Summit, 2019 in Stockholm, Sweden
- Invited talk A Machine Learning Win at Github ...and So Can You! at ML4All, 2018 in Portland, OR
- SnowStats: my capstone project for The Data Incubator looking at the change in snow coverage through data science methods for several ski areas as measured via satellite imagery, Washington, DC, 2015
- "When GraphRAG Goes Bad: A Study in Why you Cannot Afford to Ignore Entity Resolution" or this link (August, 2024)
- "What I Learned in my First 3 Months as a Freelance Data Scientist" (March, 2024)
- "What is a good data culture and why you need one" (December, 2023)
- "Not getting what you expect out of your data science team?" (December, 2023)
- "What I Learned in my First Year as a Director of Data Science" (May, 2023)
- "What I Learned in my First 6 Months as a Director of Data Science" (November, 2022)
- "When SQL is Not the Best Answer: Identifying 'Graph-y' Problems and When Graphs Can Help" (March, 2022)
- "Making FastRP embeddings work for you" (November, 2021)
- "Behind the scenes on the Fast Random Projection algorithm for generating graph embeddings" (August, 2021)
- "Visualizing graph embeddings with t-SNE in Python" (June, 2021)
- "Getting started with graph embeddings in Neo4j" (May, 2021)
- "Get going with Neo4j and Jupyter Lab through Docker" (May, 2021)
- "Create a graph database in Neo4j using Python" (Feb, 2021)
- "Importing CSV Files in Neo4j" (Jan, 2021)
- "How to get started with the Graph Data Science Library of Neo4j" (Nov, 2020)
Large language models / GenAI, graph data science and machine learning, general machine learning, natural language processing, internet of things, satellite imagery analysis.
Skiing, general lover of the outdoors, playing music (lately mostly guitar).
- [email protected]
- My LinkedIn Profile
- Me on Twitter: @CJLovesData1
- Me on Medium: @cj2001
- My pronouns: she/her