Alejandro Cantarero, Ph.D.
Data, Technology, Engineering, Product
I've spent the last several years building data products and solutions at different companies in the Los Angeles area from seed stage start-ups to large enterprises.
My experience includes building out multiple data teams at different companies, consolidating existing data elements inside a company, setting up a culture for success, and a proven track record of delivering data products that drive value for the organization.
Chief Technology Officer, Nami ML
Nami helps app publishers take control of in-app revenue by leveraging cloud-based paywall management and machine learning so users see the right offer at the right moment. Even better, because Nami ML is built using on-device machine learning we are laser focused on are protecting end user privacy.
The Next Web
September 7, 2020
Upcoming and Recent Events
Title: Building a Data-First Culture in a Large Enterprise
In large enterprises, it can be challenging to get different teams to adopt data and analytics solutions, particularly when they have been running without such information for a long time. In this talk, we will focus on a couple strategies that can help elevate the use of data to the forefront of an enterprise's processes. First, we will discuss leveraging different roles in a data org that are particularly effective at building culture. Second, we'll present some examples of creating clarity and consistency in how data are presented throughout an enterprise.
Title: Embedding a Data Culture into a Legacy Marketing Team
Creating a data team as well as a platform on which to build solutions to deliver to your business is a challenge. Even when you successfully complete this first part, and now you have all the data and machine learning at your fingertips, deploying those solutions into a legacy marketing team presents a host of other challenges. Join us to hear lessons learned in how to effectively integrate technology, build teams and deliver insights