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danielseussler/README.md

Hi there 👋

Hi, I'm Daniel, a data scientist and researcher with expertise in statistical analysis, machine learning, and survey research. With a background in statistics and mathematics and experience across Africa and South Asia, I work at the intersection of development research and data analytics. My research interests are in probabilistic machine learning for epidemiological research and survey design and causal inference for public program evaluation.

I'm a German-Colombian dual citizen currently based in Addis Ababa, Ethiopia, and Frankfurt am Main, Germany. Feel free to reach out if you’d like to chat about research!

You can find me on LinkedIn or write me at dseussler at outlook dot com.

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  1. ssahealthriskfactors ssahealthriskfactors Public

    Replication files for my master's thesis. Component-wise boosting for identification of health risk factors.

    R

  2. docintegrity docintegrity Public

    A small python package for plagiarism checks in docx files.

    Python

  3. costmboost costmboost Public

    Cost-sensitive loss in the component-wise boosting framework.

    R

  4. mcw_multilayernetworks mcw_multilayernetworks Public

    Forked from dennis-klein/arms-trade-networks

    R

  5. zindi-earlylearning-py zindi-earlylearning-py Public

    Replication files for the Zindi DataDrive2030 Early Learning Predictors Competition.

    Jupyter Notebook

  6. conformalbayes conformalbayes Public

    Conformal Bayesian Computation with Stan and Numba.

    Python