Effective Data Storytelling as a Data Scientist in Industry
Agenda
In this talk, you’ll look at a couple of common mistakes that data practitioners often make in creating presentations for the business. Things like:
Using complicated diagram
Including output of coefficients
These mistakes are presented as the journey throughout my personal career, in presentations that I personally gave that did not resonate well with stakeholders. We’ll look at a couple of techniques for improving how you communicate your ML and statistical models, how to really craft the data story, and how this improves the relationship between analytics/data science and the organizations that analytics supports.
Kristen Kehrer
Developer Advocate at CometML
Kristen Kehrer is currently a Developer Advocate at Comet sharing about the importance of reproducibility and machine learning monitoring. Kristen was #8 LinkedIn Top Voice – Data Science & Analytics in 2018. Previously Kristen was a Data Science instructor at UC Berkeley Ext, Faculty/SME at Emeritus Institute of Management and Founder of Data Moves Me, LLC. Kristen holds an MS in Applied Statistics from Worcester Polytechnic Institute and a BS in Mathematics