Data culture and management

• “Not getting what you expect out of your data science team? The “upside-down approach” to creating the team and why it is doomed to fail (Dec, 2023)
• “What is a good data culture and why you need one” (Dec, 2023)
• “What I Learned in My First Year as a Director of Data Science: The continued and constant learnings on managing data science teams outside of tech” (May, 2023)
• “What I Learned in My First 6 Months as a Director of Data Science: On the challenges and rewards of transitioning to a new role in a different industry” (Nov, 2022)

Graphs and Neo4j

• “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)

Courses developed

• 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
• 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