Data Analysis Resume Profile

Confidential

GIS Analysis:

Designed method for QSpatialite database population for users using ArcMap and users using QGIS.

Interpreted ecological value equations and implemented the formulas programmatically using QGIS python libraries.

Software Development:

Designed tools for client-requested GIS analysis, which were coded in python using QGIS core and plugin libraries.

Kept the application open-source by designing the database and its creation method using solely open-source products.

Client Relations/Project Management:

Regained client trust by helping to get a failing project back on track and on schedule and through consistent, clear, and concise communication.

Was consulted frequently about setting scope on the project from both programming and GIS points of view.

Confidential

Data Acquisition:

Investigated new datasets and evaluated their time and monetary costs against potential gain

Wrote UNIX shell scripts to automate ftp/http downloads

Data Manipulation:

Learned how to manipulate various file formats including NetCDF, GRIB, and ASCII

Wrote C programs to collect, combine, and convert variously formatted data

Data Analysis:

Implemented UNIX shell scripts to process the data from the C output to a FORTRAN model, and from that FORTRAN model to the DSSAT Agricultural Modeler

Utilized open source libraries for data analysis, such as the R Statistical package for testing statistical methods using the command line.

Data Presentation:

Delivered analysis in Excel spreadsheets, plain text tables, and GRIB files

Prepared maps of gridded data using a combination of ArcMap, GRASS, and QGIS

Created graphs and charts in Excel representing output that was published on the project website

Field Work:

Collected weekly ground water level samples from experimental corn fields throughout a season of growth.

Extracted the raw sensor data from the portable data collector, assigned appropriate values and delivered it to my supervisor.

U.S. Forestry Service:

Tasked with acquisition of RAWS Remote Automatic Weather Stations data and to assess the quality, quantity, and coverage of data compared to the PRISM dataset.

Investigated alternative data sources and reported the cost/benefit analysis

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