Tampa, Florida, USA | contact@christine-egan.com
Versatile and technically adept Content Developer with a strong background in data science, cloud technologies, and instructional design. Experienced in building engaging learning experiences for technical audiences using Python, SQL, Databricks, and AI tools.
Designed custom technical curriculum using Databricks and cloud data tools to support enterprise training initiatives. Produced 50+ video-based learning modules using Adobe, integrating real-time walkthroughs and data analysis tasks.
I developed and maintained an interactive data science curriculum on topics like Python, Data Analysis, Data Visualization, Dashboards, Web Scraping and APIs, Natural Language Processing, Artificial Intelligence, and Machine Learning.
Designed and implemented a custom NLP pipeline using Python and spaCy to optimize data workflows in cloud-hosted environments. Built dashboards and SQL-based reports to guide data-driven decisions for high-stakes clients.
A beginner’s guide to using Python’s NetworkX library to conduct social network analysis that introduces centrality measures using a simple network example.
Builds on "Social Network Analysis with Python and Network X: Part 1" by introducing a more complex network example, and exploring how this changes measures of centrality.
A beginner’s guide to using Python’s NetworkX library to conduct social network analysis that introduces measures of centrality using a simple network example.
Builds on "Social Network Analysis with Python and Network X: Part 1" by introducing a more complex network example, and exploring how this changes measures of centrality.
Builds on "Social Network Analysis with Python and Network X: Part 2" by introducing a more complex network example, and exploring how this changes measures of centrality.
Builds on "Social Network Analysis with Python and Network X: Part 3" by introducing a more complex network example, and exploring how this changes measures of centrality.