Developed, deployed, and maintained several full-stack interactive mapping applications using Blitz, React, Mapbox, and Postgres, such as treeequityscore.org and uk.treeequityscore.org.

Aggregated geospatial climate data in the Charlottesville and Eastern Shore regions and analyzed it with a focus on equity. Developed Python script to retrieve and analyze Landsat 8 satellite imagery data from the USGS REST API to build surface temperature maps for Charlottesville to understand the impact of urban heat island affects. Worked extensively with geospatial data and Python geospatial libraries including rasterio, geopandas, shapely, and more. Created data story using data… Show more Aggregated geospatial climate data in the Charlottesville and Eastern Shore regions and analyzed it with a focus on equity. Developed Python script to retrieve and analyze Landsat 8 satellite imagery data from the USGS REST API to build surface temperature maps for Charlottesville to understand the impact of urban heat island affects. Worked extensively with geospatial data and Python geospatial libraries including rasterio, geopandas, shapely, and more. Created data story using data visualization and data sonification techniques for the Picturing Climate Justice exhibit. Show less

Maintained Django platform to collect of data from hundreds of additional users in an online social experiment. Managed codebase using GitHub and collaborated with other engineers. Added documentation to existing repository.

This summer I participated in the 2020 Data Science for the Public Good Young Scholars Program as an intern where I gained valuable experience in data science. Throughout the program, I attended trainings and worked on two different projects through which I became proficient in data science with R, learning data cleaning, predictive modeling, machine learning, and text analysis such as sentiment analysis, bigram and co-occurrence network analysis, and topic modeling.

Developing a web application using the MERN stack to assist in the holistic treatment of people in recovery from Opioid Use Disorder.

- Developed software to extract and relate behavioral information to neural data.- Trained machine learning algorithms for mice paw-tracking and movement analysis. - Learned basics of data analysis, image processing, computer vision, and neural computation.- Worked in a collaborative research setting.

- Assisted in the management of the company website.- Managed technological issues by working at the Help Desk.