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Interview with Jorge Hernandez Villapol, Data Scientist, H2O - Speaker at Big Data Bootcamp - Dallas TX - May 2017 Posted on Apr 19 - 2017

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We feature speakers at Big Data Bootcamp Dallas - TX  May 5 - 7, 2017 to catch up and find out what he or she is working on now and what's coming next. This week we're talking to Jorge Hernandez Villapol, Data Scientist, H2O.

Interview with Jorge Hernandez Villapol

1. Tell us about yourself and your background.
I am a Data Scientist at H2O and part of the H2O Cloud team. My master’s current research focuses on the optimization of Cognitive Radios using Machine Learning. Cognitive Radios are Software Designed Network Radios that are tasked to find the underutilized frequency channels in the RF Spectrum. My background is in Electronics Engineering with focus on Embedded Systems and Robotics.

2. What have you been working on recently?
At H2O we are currently working on providing easy-to-use and ready-to-deploy solutions in the Cloud. Recently we have published the H2O powered VM and the Sparkling Water application for HDInsight in the Azure Cloud.

3. Tell me about the right tool you used recently to solve customer problem?
As a Data Scientist having the right set of tools is vital. H2O Deep Learning and GBM algorithms are the best starting points for a quick overview of the project.

4. What are some of the best takeaways that the attendees can have from your "Using H2O with Microsoft Azure" talk?

The Cloud has been here for the last few years. We are seeing more and more enterprises moving to the cloud. Yet most of us, are still using our personal laptops and PC’s as our workstations. It is time to move our workstations to the cloud as well. H2O and azure have partnered to provide a work environment with all the tools a data scientist might need.

5. What trends you see in upcoming 6 months?

GPUs, AutoML and Auto Feature Engineering. Auto ML and Auto Feature Engineering are considered a Holy Grail in the Machine Learning world, GPUs will be the technology we will use to get there.

6. Any closing remarks?

Data Science is both a science and a craft. As Machine Learning and AI is quickly evolving, we need to evolve at the same pace. And as a craft we are bound to keep practicing, to keep improving, to keep learning. Rapid iterations on a project is key on keeping a pace with the technology, the cloud will help to iterate, prototype and develop faster.


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