Chris Koniniec is a consultant who applies statistical principles to design tools that empower clients to make informed decisions and improve data literacy within their organization. His areas of interest are natural language processing, data visualization, and cloud computing.
At End-to-End, Chris has worked on a variety of projects in the retail and high tech sectors. He has built models to forecast demand, and optimize supply planning. He has migrated ETL pipelines to Google and Amazon cloud platforms, and built dashboards to monitor data quality. Earlier in his career, Chris was a researcher at the Working Memory and Plasticity Lab studying attention and memory. His main programming tools are Python and SQL.
Chris holds a B.A. in Cognitive Science from University of California, Irvine.