Abstract: You’ve probably felt it, there is just a little bit of friction between data scientists and decision makers in your organization. Maybe you invested the last three months of your life into a project, and when you go to present it, you’re met with blank stares. Maybe there is a new technology product out there that could greatly improve the performance of your team but the powers that be won’t give you approval to use it. In his Keynote, Ken dives deep into 5 of the main causes of misunderstandings between data scientists and decision makers. He highlights the actionable strategies to get everyone on the same page so that data scientists and decision makers are working with, not against each other.
Bio: As the Head of Data Science at Scouts Consulting Group, Ken spends his workdays improving the performance of athletes and teams by analyzing the data collected on them. He also dabbles in entrepreneurship and content creation, best known for his YouTube channel where he helps over 80,000 people navigate the data science landscape.
More recently, Ken is focused on project-based learning through Kaggle. He hopes to share the processes that data scientists take when approaching Kaggle competitions and new datasets. He started the #66DaysOfData challenge to help people create the habit of learning and working on projects every day.