Hello! Welcome on my online resume. I am life-long traveller with a dream to visit every country in the world and a passion for all things data. I am an adventurer, always ready for a challenge and looking for new things to explore. Currently, I am working as a Data Scientist, for the Ghana Statistical Service (placed as an ODI fellow). I have experience in creating products (and solutions) from a wide field of data sources, spanning from GPS and satellite data to medical and legislative text data. In addition to a passion for all things data and visualization, I thrive travelling and my life goal is to visit all countries in the world. Besides my MSc. I hold a LL.M. in China Studies from Peking University.
For my recent blogpost and work please see wwww.Ghanadatastuff.com, my personal blog
This website is still very much under development and will be improved upon in the future.
As a Research Intern I worked on automatic transport mode classification from GPS data, using machine learning. I was responsible for the feature engineering and machine learning prediction models. These data are collected as part of a pilot study by CBS to see if the traditional diary based transport survey can be automated by logging the location estimates of respondents' smartphone. More information on the project can be found here and the used code is available on my GitHub page.
As a research assistant, I developed over twenty tutorial and online teaching material on Bayesian analyses for prof Rens van der Schoot. I also authored the online materials for a book on multilevel modelling . Furthermore, I organized the biweekly MSDSlab meetings on big data analysis and methods. Finally, I assisted in writing and optimizing code to analyse data for a Utrecht University Hospital’s (UMC) project that uses virtual reality glasses to better predict complications of stroke patients.
As a teaching assistant, I organised undergraduate courses in statistics and assisted in summer schools in Introduction to Multilevel Analysis, Advanced Multilevel Analysis, A Gentle Introduction to Bayesian Statistics, and Bayesian Structural Equation Modelling.
At Denkkracht Utrecht, 24 other selected young professionals from different backgrounds and areas of expertise and I gathered monthly to help organizations in and around the city of Utrecht with solving their societal questions.
Writing a report on the business climate in Rwanda and working on private sector development and analysing investment opportunities for Dutch companies in Rwanda.
As a participant, of the Netherlands-Asia Honours Summer School (NAHSS), I completed courses at Fudan University, Shanghai and conducted research for the Dutch Ministry of Foreign Affairs on the Belt and Road initiative.
Assisting the university in designing a strategy to attract more students from Delft University to the Leiden Leadership Programme
This is a selection of the statistics and data science projects I worked on.
For my Master's thesis I worked on machine learning solutions to transport mode prediction from GPS data collected in a national travel survey.
This Shiny App is designed to help users define their priors in a linear regression with two regression coefficients. Users are asked to specify their plausible parameter space and their expected prior means and uncertainty around these means.
This is a selection of the statistics tutorials I wrote, most of them for prof. Rens van de Schoot.
Click here for more Tutorials!
Not that many yet
But here is a nice little map of all the places I visited, busy not writing Publications:
You can find the code I used making this plot here
Click here for more Publications!