Data Science

I have worked as a Senior UX Designer and Business Analyst in Amgen’s Data Science division, and I am currently studying Data Science at UCLA Extension.

You can see some samples here.

My topics include:

• SQL
• Python
• Data Visualization
• Microsoft Excel and techniques like VLookup
• R
• Tableau

Currently, UX and Data Science are considered two different disciplines. I believe they should at least work together, and I am developing a methodology to join them.

UX shows best practices and perhaps the results of a small user test, Data Science shows the unbiased data coming in from thousands or even millions of users. It might even show how all of a website/app’s users are interacting with the product.

I believe that data showing how all users are interacting with a product should be part of UX.

My Methodology to Join UX and Data Science

The methodology to join UX is fairly straightforward – include a section Data Science in UX reports.

Even if the UX report is on an exploratory or a competitive analysis topic, there is room for Data Science. 

Business Intelligence and UX should work together to give Stakeholders a full view of how users are truly engaging with the website/app – and including at least a page of Data Science in every report will help make this happen.