Profile

A data scientist with a versatile background and a strong interest in social and behavioural sciences, finance, artificial intelligence and social good. Experience with project management, data dashboards, consultancy, machine learning and academic writing.

experience

Research intern

Jun 2018 - Aug 2018
Cortical.io, Vienna

Investigated the application of Cortical.io’s core technologies to finance & investing. Focused on:

  • Gaining an in-depth understanding of Cortical.io’s core technology and its application to large, textual datasets.
  • Develop methods to process, store and query news articles using Cortical.io’s semantic folding technology
  • Use these methods to develop a prototype for visualizing and downloading historical and live data representing the nature and quantity of news relevant to user-selected stocks, commodities and portfolios.
  • Serving as liaision between the research team led by Prof. David Stolin and Cortical.

Data Analyst

Mar 2015 - Mar 2017
Leiden University Centre for Innovation, The Hague

Data analyst at the Leiden Center for Innovation, Online Learning Lab (OLL). The OLL facilitates the development of Massive Open Online Courses (MOOCs) at Leiden University. I was responsible for retrieving, storing and analysing MOOC data with the aim of improving courses and providing feedback to content creators & academics. Co-published several academic articles with researchers and published open-source tools for analysing MOOC data.

Assistant Strategic Analyst (Internship Program)

Sep 2014 - Feb 2015
The Hague Centre for Strategic Studies, The Hague

The HCSS helps governments, non-governmental organisations and the private sector to anticipate the challenges of the future with practical policy solutions and advice. While at the HCSS, I worked on several projects in areas of Big Data, security studies, and international development. Further set up an event-monitoring server that scraped and processed roughly 20.000-50.000 news articles each day, and created a package in R to analyze assertive behaviour among ‘great powers’ such as Russia, the United States and China.

Projects

FinTxtClient - Python and R modules that allows the user to interact with the FinTxt.io API
qualtRics - Library that provides a bridge between the qualtrics API and R
sfutils - R package to work with semantic fingerprints developed by Cortical.io

publications

van der Zee, Tim, et al. (2018) Evaluating retrieval practice in a MOOC: how writing and reading summaries of videos affects student learning. Proceedings of the 8th International Conference on Learning Analytics and Knowledge. ACM, 2018.

Ginn, J.H. (2018) qualtRics: retrieve survey data using the Qualtrics API. Journal of Open Source Software, 3(24), 690, https://doi.org/10.21105/joss.00690

Van der Sluis, Frans, Tim Van der Zee, and Jasper Ginn (2017) Learning about Learning at Scale: Methodological Challenges and Recommendations. In Proceedings of the Fourth (2017) ACM Conference on Learning@ Scale. ACM, 2017.

Van der Sluis, F., Ginn, J., & Van der Zee, T. (2016) Explaining Student Behavior at Scale: The influence of video complexity on student dwelling time. In Proceedings of the Third (2016) ACM Conference on Learning@ Scale (pp. 51-60). ACM.

Skills

R

Python

SQL

NoSQL


OTHER:

Shiny, Markdown, Plumber, Docker, Pandas, Tensorflow, Linux, Git, Spark