I have had a long-standing career in the field of data science, and most recently I received the opportunity of being a Senior Offering Manager responsible for cross-product initiatives in IBM’s Data Science Portfolio. I am extremely excited to speak with you during IBM’s first-ever Data Science Community Day event and share my findings and experiences about the best and worst practices in data science!

As a statistical modeling professional, I’ve seen what I do for a living go by many names. In the past few years, the term data science has come into vogue. I know a lot of definitions are out there, but here’s a simple one: I define data science as the ability to predict the near-term future or identify otherwise unknown facts about the present based on patterns from what has happened in the recent past.

I believe that as a leading organization that equips data scientists and analysts with a suite of products and platforms to practice data science, we can learn and grow together as a community.

As you go on to becoming a great data scientist, and as a data scientist myself, I am excited to share my knowledge and experience with you about the best practices for your data science project as well as tips to avoid landmines that could cause significant problems. During Community Day, at 10:00am PT in the IBM Sessions track, I will be talking about how to optimally harness the power of data to streamline the entire data science lifecycle.  We invite you to join us at this virtual event to learn more and look forward to seeing you there.

More on SPSS Modeler and products: https://developer.ibm.com/predictiveanalytics/author/ted-fischer/page/4/