As Kleinschmidt’s data scientist, Kevin routinely manages large-scale data using SQL, HD5F and GIS applications, and analyzes them with tools in Python and R. His responsibilities also include implementing company policies for the collection, handling, managing, and processing of data as well as leading staff training initiatives.
Kevin’s data-science efforts have ranged from large-scale GPS collection projects for shoreline management plans that identified over 20,000 permittable structures on over 500 miles of shoreline, to large-scale telemetry projects that produce millions of records. He has expertise with analysis methods that range from machine learning to traditional frequentist statistical techniques.
Courses involved in:
- Webinar: Python scripting for water modellers (November 2020)