To obtain an exciting and challenging position that highlights my education and willingness to learn.
Exceptional leader talented at team building & Agile . Technically-savvy with outstanding relationship building, training and presentation skills.
Data Science: Data Manipulation & Data Visualizations
The first project I was entrusted with was to take 100 year's worth of data and organize it so the forecasters could access it more easily.
This data included: YEARLY BY COUNTY IN SC- average temperatures, total precipitation, severe weather, tornadoes, coastal threats, and 100 year flood.NOAA captures this data every year to analyze in order to make better forecasts and to strengthen their climatic models. When the data was given to me it was Excel sheets out of order, unorganized, and had some missing data. I re-wrote the data in a more clean and accessible format using Excel and found the missing data.
This helped NWS find the data more efficiently.
Manned Operations center. NWS receives phone calls from the public to directly inform them of the weather.
Every day for about 2 hours my responsibility was to answer these calls and talk weather. I would get many calls from organizations including baseball teams to see if they should delay a game or not.
In that case I would transfer the phone call to a more skilled and licensed meteorologist. In many instances NOAA headquarters would call and ask for certain data in which I would access and provide in a timely matter. Assigned to the spotter-data program, a system meteorologists use to help identify severe weather threats.
If anyone in the local area wanted to become a 'weather spotter' they are required to take a 2 hour class provided by the NWS in which they would learn how to judge the size of hail or spot tornadoes etc.
Taking this class enrolls them into the spotter-data program where meteorologists can call the weather spotter to get details of the severe weather shown on radar. My responsibilities included updating this program using Google Earth Pro, typing in coordinates to identify where the weather spotters were located for when severe weather occurred. This is how meteorologists inform the public of what to expect when the severe weather hits.
Geo Info Systems
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