Alexander Scholz
Head Of Consult Delivery, Austria And Switzerland at Kyndryl
Greater Munich Metropolitan Area Germany
Summary
👤
Senior🎓
Top SchoolAlexander Scholz is a seasoned IT services executive with nearly three decades of experience driving strategic transformation, P&L growth and delivery in consulting, integration and outsourcing across the DACH region. As Head of Consult Delivery for Austria and Switzerland at Kyndryl he leads 70+ consultants, defines go-to-market strategies and bridges pre-sales to project delivery while partnering with CxOs to translate technology into measurable business value. His background spans senior roles at KPMG, Capgemini and Cognizant, giving him deep expertise in cloud, data & AI, security and large-scale managed services. An engineer by training with a Master in Computer Science, he also contributes technical work in bioinformatics tooling—adding hands-on data science experience from an open-source MultiQC module for adapter-removal analysis—illustrating a rare blend of strategic leadership and practical coding craft.
10 years of coding experience
6 years of employment as a software developer
Master Computer Science, Master Computer Science at University of Erlangen-Nuremberg
German, English
Github Skills (9)
data-visualizations10
bioinformatics10
data-visualization10
data-visualisation10
analyse10
python10
reporting-services10
data-science9
pandas8
Programming languages (6)
Github contributions (5)
MultiQC/MultiQC
Mar 2017 - May 2017
Aggregate results from bioinformatics analyses across many samples into a single report.
Role in this project:
Data Scientist / Bioinformatics Developer
Data Scientist / Bioinformatics DeveloperContributions:24 commits, 1 PR, 5 comments in 1 month
Contributions summary:Alexander developed and implemented a new module for the `multiqc` repository, specifically focusing on parsing and visualizing adapter removal data from bioinformatics analyses. They created core functionalities for parsing data from various adapter removal tools, generating plots for read length distributions and adapter alignments. The contributions included refactoring existing code, adapting to single and paired-end read scenarios, and improving the report's section structure.
multiqcpythonpypianalysesbioconda
kmpf/uap
Apr 2016 - Feb 2020
Universal Analysis Pipeline - A python tool for controlled and coordinated data analysis
Contributions:204 commits, 3 PRs in 3 years 10 months
analysis-pipelinedata-analysispythoncontrolledpipeline
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