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About me:

  • Development data nerd - One day there will be a job with the title Development Data DataOps Officer, and I want that job
  • I am expert at Stata knows how to code in Python, R and js as well.
  • My job current job as Data Science Consultant at the World Bank involves supporting 100+ projects on how to set up workflows for anything between data collection to data management to data analysis. It also includes training non-technical people that work with data in the data tools I suggest. I have trained 500+ researchers in Git/GitHub, data security and data privacy practices.
  • My favorite quote from my training materials is: "My time and my career are not more important than the privacy of the humans participating in my research" - I make the participants of my data security training say it out loud three times.

Kristoffer Bjärkefur's Projects

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

githubdropbox icon githubdropbox

A tutorial for how to combine GitHub and DropBox in a research project

gitworkshop icon gitworkshop

Materials for Feb 2017 Reproducibility Workshop at the World Bank

high-frequency-checks icon high-frequency-checks

A Stata template for running high frequency checks of incoming research data at Innovations for Poverty Action

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