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Interview with Daniel Gutierrez

by | Apr 26, 2021 | Interviews,

Daniel Gutierrez

Daniel Gutierrez

Data Scientist at AMULET Analytics

Key Topics:Big Data, Data Science, Machine Learning, AI, Deep Learning
Location:Los Angeles, United States

Daniel D. Gutierrez is a data scientist with Los Angeles-based AMULET Analytics. He’s been involved with data science and Big Data long before the fields came in vogue. As a Big Data journalist, he enjoys keeping a pulse on this fast-paced industry. He’s also an educator having taught data science, machine learning and R classes for UCLA, UC Irvine, and UC Davis. He’s authored four computer industry books on database and data science technology, including his most recent title, “Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R.” Daniel sits on a number of advisory boards to bring the benefits of data science to businesses.

How did you get to become an expert in your key topics?

I’ve always been a “data guy” with my intense interest in all things data. But my experience culminated during my graduate program in Computer Science & Applied Statistics, which is now known as “data science.” I’m an academic at heart, and more of a theorist in my current work in data science.

What topic areas are you most passionate about?

I’m very interested in the latest and greatest machine learning algorithms, specifically GBMs: XGBoost, LightGBM, Catboost, and H2O. I’m also interested in AutoML, language models, and XAI.

Which influencers influence you within those key topics?

Andrew Ng.

Outside of key topics, who else influences you?

Bill Gates.

How would you describe your offline influence?

My two most significant areas of influence are my consulting gigs in a broad set of subject domains, and also my teaching at UCLA Extension.

What’s your best source of information for getting ahead of a story? What resource do you use to stay ahead of the trend?

The good thing about my industry it has a fertile set of information resources including: GitHub, Stackoverflow, blogs like Towards Data Science, R-Bloggers, Google Alerts, Meet-up groups, and so much more

If a brand wanted to work with you, which activities would you be most interested in collaborating on?

I write a lot of whitepapers and technology guides for companies in the big data ecosystem. I also do interviews with company execs.

What brands have you worked with?

NVIDIA, Microsoft, Dell, Teradata, Intel, TIBCO, Impetus, GridGain, WEKA, Supermicro.

What are your passions outside of work?

Outside of data science, I’m also passionate about astrophysics. I do independent research in the following areas: gravitational wave astrophysics (LIGO), galactic centre, and cosmology. I spend a lot of time with theoretical areas like numerical relativity.

What would be the best way for a brand to contact you?

You can always contact me by email.