Alexander Kegel

- Building data pipelines in Azure Databricks/PySpark - Migrating a SQL Server DWH into the Azure Cloud

As Data Analytics Consultant I wrote software in SAS and SASUnit to perform automatic data integrity checks at a banking institution.

As Data Analyst for the Pacific Literacy and School Leadership Programme I created data pipelines in R, automated data reports to go out to more than 90 schools, assured data integrity and developed Bayesian regression models (time series) for student achievement data.

As Data Analyst I supported several projects that designed and implemented cross-national interventions in secondary education. I conducted statistical analyses and data modelling in R, designed a semi-automatic data reporting system and maintained student achievement databases.

I assisted the system administrator with maintenance work on the patch panel.

I provided statistical support by cleaning data and generating statistical analyses and visualisations.

During the second half of my studies I focused on statistics and data modelling. In my thesis I used Bayesian regression models to investigate differences in progress factors of counselling between clients who complete and clients who leave counselling prematurely. This thesis is published.