Data Analysis & Visualization
I believe successful research projects start with good data. I love fusing smart data analysis with exceptional qualitative research to discover trends, determine strategy and evaluate results.
I mostly use Python, R, advanced Excel and Tableau for large data analyses, but am also comfortable working in SQL and VBA.
Translating complex data findings into coherent and actionable results is the step I enjoy the most. I love creating clear and appealing visualizations using a range of tools including Tableau, Plotly, Matplotlib, JavaScript, and mapping applications, including Leaflet and Mapbox.
Most of my data analyses are available through my GitHub profile, and a selection of my favorite projects is included below.
Interactive Mapping of Global Generational Suicides
I created an innovative way to visualize a Kaggle dataset on generational suicides, designing an interactive map that displays suicides per country and allows users to zoom in and toggle between the different generations. The map visualization makes it easy to quickly discover trends and outliers in the data.