Silvia Oliveros

With a background in computer engineering and visual analytics, Silvia has worked on several projects helping clients explore and analyze their data. She is interested in building and optimizing the infrastructure and data pipelines used to gather insights from various datasets.

Silvia has given multiple talks at data science industry conferences, and is an author on multiple academic papers, including:

• Oliveros-Torres, S., Yang, Y., Jang, Y., Ebert, D., “Visual Analytics for Risk-based Decision Making, Long-Term Planning, and Assessment Process,” Eurovis Workshop on Visual Analytics, 2014.
• Malik, A., Maciejewski, R., Jang, Y., Oliveros, S., Yang, Y., Maule, B., White, M., Ebert, D.,”A Visual Analytics Process for Maritime Response, Resource Allocation and Risk Assessment,” Information Visualization, 2012.
• Oliveros, S., Eich-Miller, H., Boushey, C., Ebert, D., and Maciejewski, R., “Applied Visual Analytics for Exploring the National Health and Nutrition Examination Survey,” Hawaii International Conference on System Sciences, 2012.

Silvia holds an MS in Computer Engineering from Purdue University, and a BS in Computer Engineering from Michigan Technological University.