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Data Analytics

We Do Data.
From the infinitesimally small to the unimaginably vast, we turn numbers into know-how.

Every night, the Vera C. Rubin Observatory will produce 20 terabytes of raw image data. And every day, the data will be processed in near-real-time, tracking unexpected events unfolding in the universe and creating a 500-petabyte archive for research. 

And that’s just one example of the advanced data analytics that have put us at the forefront of data-intensive research. From resource allocation services to database administration for large installations, we provide a number of essential services that enable discovery and expand scientific knowledge. Using traditional machine learning, deep learning, and software engineering expertise, we assist Industry Partner Program clients in making data-driven decisions. And, as part of the Digital Transformation Institute, we help scientists navigate the intersection of AI, machine learning, cloud computing, the internet of things, big data analytics, organizational behavior, public policy and ethics.

NCSA Spotlight

Matthew Krafczyk headshot

Matthew Krafczyk
Data Analyst

Matt leverages experience in computational physics and machine learning to bring research closer to real-world application.

Deep learning and computational physics have driven some of the most important technological advances of the past decade. Working in these domains provides interesting challenges on a daily basis!

Project Highlights

Abstract and blurred image of programming code in cyan

Keras Spatial

This python package for pre-processing and augmenting geospatial data for Tensorflow deep learning models is just one example of how we help make managing data easier.

Exterior photograph of a Phillips 66 oil refinery at night with glowing lights

Phillips 66

Using data mining, data engineering, and machine learning, the team has helped Phillips 66 explore time series and geospatial data and more.


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