The Engineering of Data Science & The Science of Data Engineering
Data Science is a broad and evolving field, offering many opportunities for Applied Math, Computer Science, and Engineering graduates. Delivering a data-driven product to market requires a mix of all of these skills. In this talk, I will discuss data science and data engineering applications in industry, drawing largely from experiences in cyber security and related fields. I will also share some perspectives on entering industry, interviewing, and imposter syndrome.
Dan Kaslovsky is the technical lead for Data Platform & Analytics at Automox, a growing endpoint management startup. Previously, he led a data science team at LogRhythm in designing and implementing machine learning software for information security applications and user behavior modeling. Before moving to industry, Dan was an NSF postdoctoral fellow at NIST and received his Ph.D. in Applied Math from the University of Colorado, Boulder, where he researched high-dimensional data analysis and statistics. Dan lives in the Boulder, CO area and enjoys his family, sports, coding, and coffee.