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Kenny McCune

Kenny McCune
Data Manager / Analyst

Kenny McCune

Data Manager / Analyst

Mr. Kenny McCune is a data manager and analyst with a background in aquatic sciences and 10 years of experience collecting, managing, and analyzing data for water chemistry, macroinvertebrates, macrophytes, physical habitat, and geospatial data used in stream and estuarine habitat quality assessment. He is experienced in technical data management skills, including the development of data pipelines and database structures that efficiently transition data from field to database to analytical and modeling platforms.

Data Management

Data Management Compliance, Georgia Managed databases and helped to drive data management regulatory compliance. Identified and consolidated ecological tools and data sets across regions into one central location.
Watershed Condition Assessment, California Created and maintained scripts and data structures for extraction transformation and loading of watershed condition assessment metrics for California streams.
Flow Duration Indicators, California Maintained databases and data pipelines for field-collected physical habitat and biological data used in developing an inventory of indicators of streamflow duration.
Hydrologic Modeling, California Helped to manage input and output workflows for hydrologic models used to predict flow at ungauged streams. Coordinated cataloging of model inputs, transformations of model outputs, and metric calculations used for assessing ecologically relevant hydrology characteristics.
Bioassessment Indices Development, California Developed data set generation, quality assurance, and analysis scripts to help with the development and improvement of multiple stream condition assessment tools. Data sets consisted of physical habitat measurements, water chemistry data, remotely sensed data, and biological data.

Environmental Monitoring

Seagrass Monitoring and Assessment, California Developed and tested protocols for structural assessment of seagrass beds within embayments in southern California.

Water Quality Modeling

Stream Water Chemistry Modeling, California Helped to create random forest models using remotely sensed data as predictors of water chemistry variables at unsampled locations.
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