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.

Tina Bellon 10/13/22 Tina Bellon 10/13/22

Tesla Global Careers Tracker

Ever wondered where and for which positions Tesla is hiring around the world? I developed a tool that scrapes Tesla’s international and Chinese careers website, analyzes the data, geocodes and visualizes it. The data provides unique insight into Tesla’s hiring and business strategy, the carmaker’s geographical footprint and priorities. The data gets updated on a weekly basis.

Tina Bellon 10/12/22 Tina Bellon 10/12/22

Do more female executives mean higher ESG scores?

Research has shown that companies with more women in senior positions generate higher profits and operate more socially responsible. Does gender diversity also influence a company’s ESG score? This analysis explores to which degree more women on corporate boards and executive teams correlate to higher ESG scores.

Tina Bellon 1/5/22 Tina Bellon 1/5/22

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.