Janik Bischoff

ABOUT ME

I am a driven Industrial Engineer with a great interest in solving challenging problems in supply chain management and logistics, delivering data-backed decision support. My previous internships and student jobs have provided hands-on experience in analyzing data from various sources and presenting results to different stakeholders, whether operational or management. With my knowledge in engineering, logistics, and information systems, I can effectively work and communicate within multidisciplinary teams.

EXPERIENCE

REWE Group, Cologne

Working Student Logistic Analytics
08/2021 – Present

• Developed multiple components for a Python-based software library for warehouse analytics, gaining valuable experience in team-based software projects.
• Supported in analyzing warehouse capacities.

Intern Automated Fulfillment Center
03/2021 – 07/2021

• Collected business requirements to improve Warehouse Management Software for the shopfloor control department, identifying five areas for improvement through stakeholder interviews.
• Assessed a new data analytics platform, analyzed and documented five major bugs, identified ten additional features, and communicated findings to software engineers. Led a workshop enabling the shopfloor control department to create their own dashboards.

Working Student Automated Fulfillment Center
09/2020 – 02/2021

• Conducted multiple analytics projects to enable objective decision-making in warehouse control, including recommending a new sequencing strategy to improve picking performance.
• Collaborated with project managers and site engineers to ensure 90% availability of automated warehouse components, performing root cause analysis projects to improve availability.
• Automated data retrieval from the data warehouse with Python, generating time savings for the team.

ExxonMobil Chemical Central Europe, Cologne

Working Student Engineering Team
02/2020 – 07/2020

• Digitized routine maintenance processes with no-code applications, eliminating paper and increasing efficiency.
• Extracted and cleaned data for predictive maintenance tasks.

Technische Hochschule Köln, Cologne

Student Assistant
10/2019 – 03/2021

• Tutored for the SAP course in the Production Scheduling and Planning module.

EDUCATION

Technische Universität Dortmund

M.Sc. Logistics
2022 – 2024

• GPA: 3.9
• Coursework includes Operations Research, Industrial Data Science, Supply Chain Analytics, Discrete Event Simulation.
• Thesis: “Adaptive Charge Duration Decisions in Autonomous Block Storage: The Promise and Challenge of Reinforcement Learning”

Technische Hochschule Köln

B.Eng Industrial Engineering Production and Logistics
2018 – 2022

• GPA: 3.7
• Focus on discrete event simulation and intralogistics.
• Thesis: “Conception and prototypical development of a platform for data stream processing in an industrial context.”

Last Updated: May 2024