Freelancer profile translated to English.
Back to original languageAbout Dr. Jens
I support companies as an Analytics and Process Consultant in implementing data-driven strategies, reducing complexity, and measurably accelerating decision-making processes – with clear results within a few months.
Years of Kearney experience (top management consulting: optimization, benchmarking, global procurement projects) combined with data expertise (PhD Machine Learning) and in-house tool development:
- Analytics-based strategies & market analyses (e.g., TSVG compliance dashboards, assortment optimization without revenue loss)
- Process reengineering & collaborative optimization (e.g., >€100 million in spend savings through global procurement projects)
- Reporting automation & ETL solutions (Python, Azure, Tableau, VBA) for Supply Chain, Finance, and HR
- Interim Management in Analytics & Transformations
As a founder, I have developed market-ready software that makes consulting results scalable and solves real problems:
- ACOMERA (AI-powered assessment of psychological stress – automated analyses, reports & action recommendations (BASA method))
- SlideFab (Excel-to-PowerPoint automation – 70-90% time savings in mass reporting)
- Punkst3r (Collaborative decision tool with veto-based consensus & AI ideas – for fast, viable group decisions)
Successes: Significant cost savings, valid decision-making bases, high efficiency in transformations.
Available remotely + travel worldwide. Let's discuss where I see your biggest leverage!
German
Native or bilingual
English
Fluent
French
Basic
Can work on-site
Trier (up to 50km), Berlin (up to 50km), Düsseldorf (up to 50km), Frankfurt am Main (up to 50km), München (up to 50km)
Experience
- ACOMERAAnalytics & AI Consultant / Developer / Strategist | FounderSOFTWARE PUBLISHINGJuly 2021 - Today (5 years and 1 month)Trier, GermanyDevelopment and deployment of an AI-powered software for assessing psychological stress.
- Development of a UX-optimized complex web application
- Integration of Artificial Intelligence as user support
- Utilization of Large Language Models via API for interpretation of quantitative results
- Automation of the process for result calculation and reporting
- Huehn Solutions GmbHData automation, consulting, analytics | FounderCONSULTING AND AUDITSSeptember 2016 - Today (9 years and 11 months)Trier, GermanyAs founder and CEO of Huehn Solutions GmbH, I combine strategic data analytics consulting with hands-on software development and automation – for measurable efficiency gains in 3–6 months.Selected Projects (Consulting Focus):*Market Entry Strategy for PE-led Dental Network(Healthcare, Germany): Following TSVG legislation, development of a comprehensive Tableau dashboard with modeling of all ~40,000 dental practices + sociodemographic data → valid acquisition strategy despite urban purchasing restrictions.*Margin Analysis & Incentive Modeling for Large German Bicycle Manufacturer(Manufacturing): Stakeholder interviews (Procurement to Sales) + data-based root cause analysis; creation of Excel tools for simulating complex discount/bonus systems for dealers → clear identification of margin losses and recommendations for action.*Spend Cubes & Transparency for various industries(Automotive, Cosmetics, etc.): Building persistent spend cubes with ETL processes (Microsoft SSIS + SQL Server) → harmonization of heterogeneous ERP data sources, increased analytical value creation, and better procurement decisions.Proprietary market-ready software as implementation examples:
- SlideFab (https://slidefab.com) Automated mass production of PowerPoint slides from Excel data → 70–90% time savings for Finance, HR, and Survey reporting.
- Punkst3r (https://punkst3r.com): Collaborative decision-making tool with veto-based consensus ("what everyone hates the least") and AI-generated ideas → shorter meetings and more viable group decisions.
- KrautSurvey (Basis for ACOMERA): Web-based surveys with automated PDF report generation → efficient crowd surveys and analyses.
- German Heatpump ManufacturerInterim Manager, Data ConsultantMECHANICAL ENGINEERINGJune 2023 - January 2024 (7 months)Frankfurt am Main, GermanyVarious activities to support the new Supply Chain Division:
- Extraction & transformation of Azure Analytics data into Google Sheets via Python-based automation
- Improved data quality and transparency for supply chain decisions, building a complex financial model in Excel
- Development of a Power BI dashboard to track inbound material availability and delivery times
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Education
- Doctor of Natural Sciences, Computer SciencePhilipps University of Marburg2009The doctoral degree about Machine Learning was obtained at the Computer Science Department of Marburg University within the team of Professor Eyke Huellermeier. The research led to three new fuzzy-rule-based classification algorithms ("FR3", "FURIA" and "HELLFIRE") beating existing state-of-the-art classifiers in terms of classification accuracy significantly. Various articles in top journals got published. The PhD thesis has the title "Induction and Fuzzification of Classification Rules"
- Visiting Research Fellow - Computer SciencesHarvard Medical School2009This part of the education was a research stay as Visiting Research Fellow at the Decision Systems Group at Harvard Medical School, Boston, MA. It was self-organised in order to conduct further research on Machine Learning. Its research outcome led to a chapter about a new legible fuzzy classification algorithm (called "HELLFIRE" for "High-End Learning of Linguistic Fuzzy Interval Rule Expertise") in the PhD thesis. Financially, this trip was supported through the Konrad Adenauer Foundation.