I am a GIS Analyst at NV5 Geospatial, where I support our team in QA/QC processes,
ensuring data integrity and accuracy. I have demonstrated meticulous attention to detail
and efficiency in classifying data, leading to high quality data products.
I enable my team to make deliveries in a timely manner, and I collaborate effectively
with colleagues and management, following instructions and contributing to team goals.
My passion for GIS stems from my academic journey at the University of Washington,
where I graduated with a BS in Geography with a concentration in data science and
a minor in Informatics. I honed my skills in spatial analysis, cartography, data
management, and data visualization through coursework and practical experience.
In my current role, I have been using cartography, spatial analysis, and CAD modeling
skills to serve people across North America by performing various stages of data production
in risk surveys and analyses along utility corridors. My ultimate career goal is to continue
to leverage my technical skills and values of honesty, hard work, and helping others
to make a positive impact in the field of GIS.
In my most recent role, I have gained a lot of experience performing Vegetation
Clearance Analysis. I started out in Vegetation Detections, where I
combined wire vectors with LAS points in a proprietary ARC toolbox to determine
vegetation threats to transmission and distribution wires. Following this,
I inspected all of the outputs in Microstation and cleaned up any noisy data.
I asked my supervisors to train me in as many workflows as possible, eventually
I grew into a role unarchiving and updating transmission and distribution models
with current LAS in PLS-CADD.
In other projects, I extracted vector features on gas utility ROW from satellite
imagery using ArcGIS Pro, then used these features to perform various encroachment
and risk analyses. During each of these workflows I made use of geodatabases to
verify project extents and create data products for clients or later use in data
production.
In this project, I was challenged to create a one-page visual investigation
incorporating data, geospatial visualizations in the forms of maps and/or
satellite imagery, statistics, textual elements, and a write-up. I drew on
the skills I learned in both ArcMap and R to design an engaging
presentation, which transformed data into information.
If I were to recreate
this project, I would orient the axes of the charts in the same direction and
round the numbers (i.e. writing 1, 2, 3, 4 along the axis) then add "in
millions" on the axis label. I would also remove the spelling / grammar
error in the block of text at the bottom of the page.
Under Construction
Under Construction
Note that prior to this creating this script, I utilized PostgreSQL and PostGIS in the JupyterHub terminal to create the database and set up user access for this project. UNDER CONSTRUCTION
Maps produced in Tableau.