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

Darren Kaplan

Co-Founder & Board Member of HiQ Labs

Darren Kaplan is 2x Founder and recognized as one of the Top 20 Data Science Influencers in 2020. Darren is the co-creator of The Data Standard, the premier networking user-community for data-science, data engineers, and cybersecurity enthusiasts.

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.