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From Aerospace Manufacturing to Data Science: Bob Wood Shares His Story

From Aerospace Manufacturing to Data Science: Bob Wood Shares His Story Two boys grew up in Saudi Arabia. Both boys lived in the same town, both moved to the United States, both attended Case Western University, and both studied engineering.

Data Scientist
Meet the Newest Data Scientist at Pandata: Merilys Huhn, JD

Meet the Newest Data Scientist at Pandata: Merilys Huhn, JD For as long as she can remember, Merilys Huhn has loved solving problems. She has always been deeply intrigued by how people work and act together—her background in law and

Ethical AI
From Anthropologist to Data Scientist: Julie Novic Shares Her Journey

From Anthropologist to Data Scientist: Julie Novic Shares Her Journey Julie Novic knew at the age of eight that she wanted to be an archeologist when she grew up. Even at that young age, she wanted to understand human culture

Data Science as a Team Sport

By Hannah Arnson & Joseph Homrocky   Data science is often thought of as a black box – in goes data, outcomes actionable information. Inside that black box lives a complex mix of programming, mathematics, statistics, hardware, and software, each

Data Science as a Business Function

There is no doubt that data science is revolutionizing the business world and the companies that aren’t investing in it are being left behind.  With all the hype around the data scientist, with skills that span advanced mathematics, database manipulation, statistical

What Makes A Well-Rounded Data Science Team?

Creating a data science team requires painstaking precision. We believe that it should be multifaceted. Not only should it consist of data scientists, with different specializations and disciplines, but it also requires a strong support system to round it out.

What is a Data Scientist?

Cal Al-Dhubaib, Pandata’s chief data scientist, expounds on data science as a career.

What is Data Science and Why Do You Need It?

The data revolution of the 2010’s is very similar to the IT revolution of the 1990’s. Just as the workforce required more computer literate professionals in the 90’s, today’s workforce increasingly calls for professionals that are comfortable making informed decisions