Data Scientist
CurrentAnalysis of failure and usage data of various military systems (army, navy, air force)- Explorative data analysis of failure-, operating-, logistics- and maintenance data for weapon systems- Extract, clean, combine and save data from different sources (SQL, APIs, Files, ...)- Predict spare part shortages- Calculating failure rates and their contributors - Develop KPIs for Supply-Chain analysis- Assessment of maintenance data (duration, dependencies, frequencies)-… Show more Analysis of failure and usage data of various military systems (army, navy, air force)- Explorative data analysis of failure-, operating-, logistics- and maintenance data for weapon systems- Extract, clean, combine and save data from different sources (SQL, APIs, Files, ...)- Predict spare part shortages- Calculating failure rates and their contributors - Develop KPIs for Supply-Chain analysis- Assessment of maintenance data (duration, dependencies, frequencies)- Developing prognosis models to predict readiness- Reporting and visualization of results- Communication of results, problems and suggestions towards the customer- Benchmarking simulation results against real data (validation and calibration)- Implement complete ETL pipelines- Connect own services into existing (Micro)service architecture- Build and maintain Docker containers (DevOps)- Administrate department wide data analysis server- Established the company wide Python Network to give lectures and trainings on Python Show less