Resume

Proficient with Python, JavaScript, SQL, & MongoDB. I have a strong focus in collaborating with team members and clients to solve problems programatically. Skilled in presenting bugs and solutions using dashboards and reports.

Proficient with ArcGIS Pro, QGIS, Python, JavaScript and Data Analysis. I have a strong focus on delivering detailed maps and reports while creating engaging Web GIS experiences. Skilled in collaborating with team members and clients to understand their business goals to translate into innovative solutions.

Instructed students in chemistry using state standards, practical labs, and projects. Rated as highly effective instructor for the 2019-2020 school year. Rated as effective instructor for years 2021, 2022. I use python libraries Pandas, Seaborn, and Numpy to generate reports on my students to analyze lesson success.

This project was written in JavaScript to learn selenium a little better because I had to write a program to automate customer flows / verifying site integrity on our e-commerce site. As a Seinfeld fan, this was a more fun way for me to learn.

While working as a GIS Technician, I was often performing utility analysis for the city to determine the proximity of potable and sewer lines to a specific parcel. I always had to make a map which got extremely repetetive after the 3rd one. I wrote this jupyter notebook to automate this, often taking only a few inputs to speed up map creation. This increased my productivity significantly by using object classes within the ArcPy library.

This project is a simple API with full crud for admin users. Users can filter jokes by category, get lists, or random jokes by category. The frontend of the project is powered by django templates and htmx. The backend uses django-ninja-rest-framework and MySQL to provide the json response.

• Achievements Incoming...

• Developed strong analytical skills through hands-on laboratory work, including sample preparation, instrumental analysis, and data interpretation.
• Utilized mathematical modeling and statistical techniques to analyze environmental data sets and quantify trends, patterns, and correlations.
• Engaged in research projects focused on environmental chemistry, utilizing laboratory experiments, data analysis, and literature review to contribute to scientific understanding.