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.

Python, Webscraping, Tableau, Geocoding, Graphics Tina Bellon Python, Webscraping, Tableau, Geocoding, Graphics Tina Bellon

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.

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