The Data Standard

Causal inference with Justin Conley at 84.51
Justin Conley, Director of Data Science at 84.51˚, joins The Data Standard to discuss everything surrounding causal inference.

Episode Summary

Justin Conley joins The Data Standard for a deep dive into causal inference and how it can help businesses understand causes and impacts for better decision making. Referring to current events as examples, Justin explores how we interact with, analyze, trust, and interpret data – addressing underlying assumptions, counterfactual frameworks. Stay tuned to learn more about causal inference and the insights you can unlock with it.

Meet The Host

Catherine Tao

Data scientist at The Data Standard

Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.

Meet The Guest

Justin Conley

Director of Data Science at 84.51˚

I utilize a broad background in studying people, processes, and technology, enabling me to learn and adjust quickly to solve problems. It is these things that allow me to develop solutions from beginning to end, and successfully play a variety of roles in the artistic and scientific usage of data. I thoroughly enjoy people, and as a result have been able to collaborate with a wide variety of functions and personalities to quickly and effectively pioneer, improve, and automate tools and processes everywhere I have worked. I seek out and evaluate every available resource to drive as much REAL value as possible. Check out my YouTube channel, Philosophy of Data Science, where I take a look at the biggest issues confronting data science from 30k feet.