PMI-PMP Certified Project Manager

4/2019 – 4/2021

Designed and delivered ESG/EHS data platforms, integrations, and dashboards turning environmental goals into reliable, auditable, and actionable insights.
Discovery & requirements: Ran stakeholder workshops; mapped as-is/to-be processes for ESG/EHS reporting, compliance, and risk.
Solution design: Defined target architecture for sustainability data (Scope 1/2/3, HSE events, audits), data models, and integrations (APIs/ETL).
Platform implementation: Configured EHS/ESG software modules (incidents, audits, actions, document control) and set up workflows, roles, and permissions.

IT-Berater

10/2016 – 4/2019

- EHS platform rollout: Implemented a digital HSE management system (incidents, audits, CAPA, training). Migrated legacy spreadsheets, defined workflows, and trained users.
- Mobile inspections: Introduced app-based checklists with photo evidence and offline mode; cut audit write-up time and boosted finding closure speed.
- Data & reporting: owned KPIs (TRIR/LTIFR, near misses, audit closure, training coverage) with monthly reviews
- Training & culture (inductions, toolbox talks, targeted refreshers); improved participation and knowledge scores

Business Consultant

4/2016 – 10/2016

Built a 15-year yellow rust dataset, co-authored a paper, and delivered a forecasting approach that helps farmers optimize fungicide timing and reduce unnecessary sprays.
- Built and documented a 15-year historical dataset; harmonized meteorological, phenology, and disease-incidence data; implemented QA checks
- Conducted literature review on yellow rust epidemiology and threshold parameters; aligned model assumptions with agronomic practice
- Developed analysis pipelines (Python/R: Pandas, NumPy, scikit-learn / tidyverse) and performed model evaluation (sensitivity/specificity, AUC)
- Produced data patterns/trends (onset windows, risk accumulation, variety susceptibility) to inform decision rules
- Created farmer-facing outputs: recommended spray windows, basic risk maps (QGIS), and concise advisory briefs
- Co-authored a paper outlining dataset, methodology, and results; maintained reproducible notebooks and a lightweight dashboard prototype

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