I am Vestin Hategekimana
I am a doctoral student in Demography with a particular interest in human mobility during crisis periods and longitudinal methods.
My research aims to understand how contextual instability affects population movement in Switzerland, particularly through longitudinal studies that track individuals or groups over an extended period.
- Data Science: I am passionate about the quantitative analysis of large data sets to identify trends, make predictions, and aid in decision-making.
- Data Visualization: Effective data visualization is essential for making information accessible and understandable. I like spending a ton of time on data cleaning (but also in visualization).
- R
- Python
- Julia
- Nim
- JavaScript (recently)
- Data Analysis: I enjoy deriving insights from complex data sets and do a ton of cleaning.
- Data Visualization: Let's make the data beautiful!
- Simulation: Creating models to predict future trends or test various hypotheses and strategies.
- Web Scraping: Efficiently extracting data from websites to enrich my analyses or feed my models with data.
- Network analysis: Working with graph method to extract insights from data.
- Publication: Using quarto to create taylored documents, interactive presentation, static webiste or tutorials.
- LLMs integration: I am toying with different open weight/open source LLMs to integrate them in my local workflow.
I am always looking for opportunities to collaborate on projects that explore these areas, or any other interesting project. Feel free to contact me to discuss potential collaborations!