Experienced data scientist with expertise in machine learning, statistical analysis, and data engineering. Currently building data-driven solutions from research to production as Co-Founder at SKOPOS ELEMENTS.
I'm a Senior Data Scientist and Co-Founder of SKOPOS ELEMENTS, where we build end-to-end data solutions combining rigorous statistical methods with modern machine learning techniques.
My academic background includes doctoral research at the University of Bonn focused on statistical practice and replicability in psychological science. This foundation in rigorous methodology now drives my approach to solving complex data challenges in business contexts.
At SKOPOS ELEMENTS, I lead data science projects from conception through production deployment, working hands-on with everything from statistical modeling to data engineering and machine learning implementation.
As Head of AI for the SKOPOS Group, I'm responsible for developing and implementing our overall AI strategy, advancing market research through data science and machine learning methods.
SKOPOS ELEMENTS
Leading a consultancy that provides data science solutions for clients using statistics, machine learning, and software engineering. Building a team of data scientists and providing individual, data-centered solutions for customers. As Head of AI for the SKOPOS Group, responsible for developing and implementing AI strategies across projects.
SKOPOS Research
Advancing market research through the implementation of data science and machine learning methods. Led technical initiatives to modernize traditional market research approaches with cutting-edge analytical techniques and automated data processing pipelines.
University of Bonn
Academic research on questions of replicability in psychological science and statistical practice (hypothesis testing, statistical modeling, Bayesian statistics). Teaching Master students in psychology on testing, decision-making and psychological assessment.
University of Bonn
Master's degree in Psychology with focus on quantitative methods and data analysis. Specialized in statistical validation and simulation-based methods for data quality assessment.
University of Bonn
Bachelor's degree in Psychology with early focus on quantitative methods and data analysis. Gained foundational expertise in statistical analysis and research methodology.
Developed and optimized machine learning models for client prediction tasks, achieving 95% accuracy improvement over baseline methods.
Built comprehensive analytics platforms for market research, processing millions of data points to generate actionable business insights.
Doctoral research on statistical practice and replicability in psychological science, contributing to methodological improvements in the field.
Harms, C. (2021). Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn.
Thomas, E., Steffens, M., Harms, C., Rossell, S., Gurvich, C., & Ettinger, U. (2020).
Beauducel, A., Harms, C., & Hilger, N. (2016). International Journal of Statistics and Probability, 5(6), 94-107.
Harms, C. (2014). Unpublished Master's Thesis, University of Bonn, Germany.
Actively collaborating with leading researchers in reproducibility and meta-science, contributing to methodological improvements in psychological research and statistical practice.
Regular insights on data science methodologies, statistical practice, and research reproducibility. Bridging academic rigor with practical applications in data science.
Visit Blog - neurotroph.deInterested in data science solutions, speaking engagements, or collaboration opportunities?
mail@christopherharms.de
Company
SKOPOS ELEMENTS GmbH
Location
Cologne/Bonn Area, Germany
Available for new projects
Currently accepting consulting and speaking opportunities through SKOPOS ELEMENTS.