Steinbach, Hesse, Germany
Bold innovator bridging sustainability, ESG governance, and predictive analytics. Ensures products and raw materials comply with external certifications (e.g., Oeko-Tex®, SOIs), internal substance-control requirements, and corporate sustainability targets. Global leader applying data-driven solutions. Co-developed AI-assisted systems for raw material specifications to detect inconsistencies, improve compliance, and automate validation rules, enabling faster, statistically sound decisions and reducing reporting cycle times from months to days. Integrator connecting LIMS, QA, and product systems with Azure Databricks, Python, SQL, and Power BI, building end-to-end analytics pipelines for R&D and sustainability data. Delivered actionable insights, KPI scorecards, and automations that optimize compliance and raw material quality. Applied statistical rigor and empirical modeling to raw material qualification, reducing lead times by >25% and optimizing sampling strategies. Used predictive analytics and scenario modeling to inform decision-making and mitigate sourcing/production risks. Trainer and advisor in data-driven decision-making, coaching cross-functional teams on statistical analysis, empirical modeling, and workflows applied to raw material and sustainability data. Experienced in cross-functional governance, ethical AI principles, and data access controls for sensitive supplier and internal information. Strengths include Achiever, Learner, Relator, with demonstrated ability to translate complex sustainability, ESG, and predictive data into actionable business insights, recognized for ethical AI application, cross-functional leadership, and strategic impact in global R&D and sustainability initiatives. Core skills / tags: ESG Governance, Sustainability Strategy, Corporate Responsibility, Predictive Modeling, Data Analytics, Python, SQL, Azure Databricks, Power BI, Generative AI, Scenario Modeling, Dashboarding, Ethical AI, Climate Risk, Digital Transformation.
Data Analysis/Statistics: Developing and deploying statistically sound sampling plans & tools for raw material release. Trainer for Design of Experiments methodology, Data Visualization. Increasing efficiency of sampling strategies, robustness of models and setting them up for repeatability and predictability. Global raw material qualifications and roll-out - not only on current grades but also supporting and collaborating with the supplier in developing new grades. Training, auditing, qualifying and technically assessing current and new raw material suppliers. Increase Raw Material Qualification productivity (speed and efficiency) via redesigning the IQ OQ PQ work-process and developing standardized tools for easy reapplication. Buddy, coach and occasionally a mentor to fellow colleagues beyond the department.
Techincal Assessment of a light-induced curing technology for adhesives. Literature search, experimental planning, conducting experiments were followed by a presentation summary (to colleagues and upper management).