Recent Graduate Student at UC San Diego School of Global Policy and Strategy (GPS)
I'm a data analyst and GIS specialist focused on developing data-driven solutions in causal inference and spatial analysis. I leverage machine learning and geospatial analytics to tackle urban and policy challenges. My projects include using spatial analysis and semantic segmentation to enhance walkability around trolley stops in San Diego and analyzing the causal relationship between EV charging infrastructure and electric vehicle adoption using instrumental variables. I work with R, Python, and SQL, and I'm skilled in frameworks such as Tidymodels, Scikit-learn, and TensorFlow, along with GIS tools like ArcGIS, Geopandas, and Folium, and data visualization with ggplot2 and Matplotlib.