Joe Marlo - C I Can Do More 

C I Can Do More by Joe Marlo
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Abstract: GitHub Actions for data science pipelines. Leveraging CI/CD for more than unit tests. Deploy apps, fit models, and score your data automatically.
Bio: Joe is a Senior Data Scientist focused on statistics, Shiny, and R programming. He's authored multiple R packages on sequence analysis and causal inference diagnostics. Previously, he was a quantitative strategist at J.P. Morgan and a data scientist at Verizon. The former role leveraged proprietary big data to understand the spending and saving patterns of Americans and the latter role hierarchical forecasting problems. He holds a master's in applied statistics from New York University and a bachelor's in finance from University of Missouri. Joe is also an assistant research scientist at New York University where he works on thinkCausal, a project to make machine learning methods for causal inference more accessible.
Twitter: / landeranalytics
Presented at the 2023 D4 Conference (August 24, 2023)