About

My name is Stefan Kasberger and I love developing applications for the common good.

In my professional life, I am a Data Scientist and DevOps Engineer. I build data pipelines and am keen on automatisation, standardization and quality assurance in software development. My approach is built upon using and creating open knowledge, such as open source and open data, to create innovative software eco-systems.

Besides that, I love to hang out with my family (Hannah, Moritz and Luise) and friends, do sports or play games. So it never gets boring. :)

Photo Stefan Kasberger
Living in Vienna, Austria
Working as "Technical Consultant Big & Open Data" at the Austrian Federal Computing Center (BRZ) + Freelance Consulting
Studying "Environmental Systems Science - Geography" at the University of Graz
Volunteering: Founder of openscienceASAP, Open Science Working Group AT and Offene Wahlen AT and former chairman of Open Knowledge AT
Interests: Basketball, Football, Mountaineering, Music and Games
I
Heart
Logo Open Knowledge

Portfolio

pyDataverse
pyDataverse

I developed an Open Source Python module for the Dataverse community. It helps to access the Dataverse API's and use its data-types.

Dataverse
Dataverse (CTS & OAIS)

At the University of Vienna I operated the AUSSDA Dataverse and its CI/CD pipeline. This included all related processes, such as OAIS alignment, the CoreTrustSeal certification and the technical strategy.

TDM Zika
Text and Data Mining

During the Zika epidemic, I applied Text and Data Mining to extract information from thousands of academic papers to understand the virus better.

Reachability Analysis
Reachability Analysis

During my study in Graz, I conducted a reachability analysis with pgRouting, QGIS, Docker and OpenStreetMap data to get hands on the full geo data pipeline.

Services

Creating Smart Data Pipelines
Extract
>>
Process
>>
Analyze
>>
Use

Developing

I use Python to create web-applications, installable packages, web-scrapers or scientific scripts. My focus is on Open Source and Open Standards, with emphasis on sustainable software development practices, such as testing, documenting and linting.

Tools

Python (Flask, FastApi, Pytest, Sphinx), Git, VSC, JavaScript, HTML, CSS

Paradigms

Open Source, OOP, Test Driven Development, Git Flow, RESTful APIs, OpenAPI

Operating

Modern web-applications are built not only with software infrastructure supporting, but also with processes surrounding it. I operate and design CI/CD pipelines & processes around applications such as Dataverse with an agile approach..

Processes

CI/CD, Monitoring, Web-Analytics, Preservation, Strategy Management

Tools

Docker, Dataverse, postgreSQL, AWS, Web-Server, Jenkins, Matomo, Selenium, Shell, Linux

Paradigms

CoreTrustSeal, OAIS, Agile, OAI-PMH, DDI

Using

Value is often created at the end of the data pipeline, when the prepared data is finally used for its intended purpose. This can be a simple visualization, a complex analytical pipeline or a service on its own.

Scientific Methods

Machine Learning, Network Analysis, Spatial Analysis, Text Data Mining, Agent-based Modelling

Scientific Tools

Python, QGIS, GRASS GIS, R, Matlab

References

Virginia Tech
General Electric
Offene Wahlen
ContentMine
FutureTDM
AUSSDA
SSHOC
GESIS
Virginia Tech

Contact

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