About Me
A little about myself...
BIO
A Geographer, academically trained in Water Resource, Environmental Management, Geographic Information Systems (GIS), and a LEED's Green Associate.
Currently working on Full-Stack Development, with technical interest in blockchain technology, AI and Machine learning. I have many hobbies including strength training, Pekiti-tirsia Kali, rock climbing, and painting.
GIS & Data Analysis
ArcGIS and Suite of Apps, Proprietary Software Systems, R for Python, HEC-RAS (Hydraulic flow analysis), JSON and GEOJSON. Data and meta data analysis, familiarity with relational database architecture and use. Writing simple and complex workflows that include SQL and/or Python queries to define required spatial variables.
Full-Stack Developer
Full-Stack Development Experience: JaveScript (Node.js, Express, Vue.js), ES6, HTML/HTML5, CSS/SASS/Grid/Flexbox (including Transitions/Animations/Responsive Web Design), API's, Axios, SQLite3, UI/UX, Postman, Scripting and OOP. Python, Tableau, GIT, VsCode, Codepen, Babel, Pug, Maps (ArcGIS) Front-end Libraries: Bootstrap, jQuery, Sass, React, D3.js
Swift/Xcode & iOS App development (beginner-intermediate)
Apple Inc. via Apex Systems
Gis Specialist
May 2018 - May 2019
• Work in a variety of areas including: verification, spatial analysis, sourcing (closed source, but familiar with open-source solutions), basemaps, addressing, POI/AOI, Streets & Addressing, collaborative pilot projects for scaled solutions, JSON and GEOJSON • Confluence/JIRA ticketing system, working in a collaborative and agile environment • File radars to resolve internal application issues • Nominated by peers for employee of the month twice
Indeed
Data Analyst
March 2017 - March 2018
• Research, enrichment, and analysis of data utilizing Google Docs, Agile CRM, as well as variety of tools and applications. • Assisted with new employee training and performance improvement. Proactive creation of technical documents for job directives.
Community Tax Centers of Austin
Data Internship
2017
2016 • Piloted database architecture for volunteer intake forms and performed data analysis to organize information. Data for tax preparers (volunteers) needed to be organized for annual Federal review. Basic ETL methods and self-directed work with minimal oversight. Improved intake workflow and efficiency.