Stefan Kissel
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Stefan Kissel
- 1 Jahr, Juli 2024 - Juni 2025
Senior Manager Sales Business Intelligence – lead
FUTRUE GmbH
- Leading the Business Intelligence Team - Responsible for data infrastructure, integration and KPIs - Identification and implementation of (scalable) optimizationproblems
- Conceptual design, creation and presentation of reporting and analysis - SPOC for Logistics, Supply Chain, Customer Service, Strategic Project and Process Management & HR - Implementation of Data Science projects (from conceptual design, automation of data pipelines, modeling and presenting the results) - Process manager & data responsible in Stakeholder Involvement for new projects - Retrieval of data from various data sources, furthermore acquisition and processing of data via API or web scraping
- Creation of reports/analyses and definition of key figures relevant to management for the Supply Chain, Logistics and Customer Service - Consulting and support of the Supply Chain, Logistics and Customer Service area in identifying development potentials (contact person for data) - Stakeholder Management such as Supply Chain, Logistics and Customer Service as well as Data Science / Data Engineering
- 2 Monate, Aug. 2019 - Sep. 2019
Internship in the editorial department of 4x4action magazine
Wieland Verlag GmbH
Researching ways to increase the performance of off-road vehicles: 4x4 action. The magazine for real off-roaders, 3-2020, p.70-77. Research of the supply and availability of off-road vehicles and pickups produced worldwide.
- 2 Monate, Juli 2015 - Aug. 2015
Internship in Mechanical Engineering
RSN Sihn GmbH
Areas: Quality Management, Maintenance, Product Design and Turned Parts Manufacturing
Ausbildung von Stefan Kissel
- 2 Jahre und 2 Monate, Okt. 2018 - Nov. 2020
Industrial Engineering
Technische Universität Darmstadt
Areas of focus: - Evaluation of machine learning methods for predictive quality assurance - Implementation of a chatbot for data-based selection of drugs - Solution of the Economic Lot Scheduling Problem using Artificial Bee Colony Algorithm
- 3 Jahre, Okt. 2015 - Sep. 2018
Industrial Engineering
Universität Augsburg
Areas of focus: - Value-based process management - Materials science - Production and Logistics
Sprachen
Deutsch
Muttersprache
Englisch
Fließend
Latein großes Latinum
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