CV

My current curriculum vitae. A German PDF version is available for download.

Basics

Name Jonas Genath
Label Senior Consultant for Digitalization and Automation | Data Scientist
Email genath.jonas@gmail.com
Url https://www.genath.website/
Summary I combine process analysis, factory planning, automation, artificial intelligence, simulation, and visual analytics to turn complex operational challenges into practical digital solutions.

Work

  • 2025.09 - Present

    Germany

    Lecturer for Digitalization, Automation and AI
    Akademie für Beruf & Karriere (cooperation)
    Part-time professional education.
    • Design and delivery of professional training on digitalization, automation, and artificial intelligence in day-to-day work
    • Teaching the foundations and practical requirements of the EU AI Act for the responsible use of AI
  • 2025.09 - Present

    Hamburg, Germany

    Senior Consultant – Digitalization and Automation in Factory Planning
    Metroplan
    Process analysis, factory planning, and the development and implementation of digital solutions.
    • Modeling and analysis of end-to-end processes using Gemba walks, SIPOC, and BPMN to identify weaknesses and digitalization and automation potential
    • Development of target processes, solution concepts, and functional requirements for future IT landscapes
    • Application of lean methods, including value-stream analysis and work-sampling studies, to reduce waste, inventory, transport, and lead times
    • Automation of administrative processes with Power Automate, saving several working hours per week
    • Agile project planning with Scrum and facilitation of customer workshops for specialists and management
    • Support for the introduction, configuration, and customization of the Odoo ERP system
    • Development and delivery of practical generative AI training for managers and consultants
    • Projects include a digitalization concept for mechanical production, a lights-out factory feasibility assessment, and master planning for a new factory site
  • 2022.01 - 2025.08

    Ilmenau, Germany

    Project Lead
    Technical University of Ilmenau
    Group for Information and Knowledge Management.
    • Operational and strategic management of a digitalization project that introduced an autograder into the university IT infrastructure, including budget planning and project communication
    • Agile planning and continued software development of the autograder system with Scrum
    • Creation of operating concepts and manuals to support the long-term use of project results
    • Integration of a generative AI agent to improve feedback for programming students
    • Development of testing processes and automated unit and integration tests
    • Presentation and dissemination of results within TU Ilmenau and at national and international universities
  • 2020.01 - 2025.08

    Ilmenau, Germany

    Research Assistant
    Technical University of Ilmenau
    Group for Information Technology in Production and Logistics.
    • Application of machine learning and explainable AI to automate the analysis of simulation data
    • Design and implementation of digital twins with OPC UA interfaces for production systems
    • Facilitation of workshops and tutorials on expressive data visualization and responsible AI
    • Consulting on logistics and material-flow simulation and the use of machine-learning algorithms
    • Development of end-to-end dashboards for multivariate data analysis
    • Implementation of visualization and machine-learning methods for the modular SimAssist software
    • Teaching in simulation, data science, and programming
  • 2018.10 - 2019.12

    Ilmenau, Germany

    Student assistant
    Technical University of Ilmenau
    Group for Information Technology in Production and Logistics.
    • Teaching in the digital factory laboratory
    • Support in the creation of simulation models
  • 2018.03 - 2018.09

    Ilmenau, Germany

    Working Student
    REWE digital Ilmenau
    E-Commerce Department
    • Support with the introduction of algorithms for shopping basket analysis
    • Creation of scripts for evaluating sales data and validating product data
  • 2015.09 - 2016.03

    Eisenach, Germany

    Internship as a production planner
    Robert Bosch Eisenach Fahrzeugelektrik GmbH
    Sensor Production Department
    • Implementation of a simulation model for the production process
    • Development of a Kanban system for spare parts management

Education

  • 2020.01 - 2025.12

    Ilmenau, Germany

    Doctor of Engineering (Dr.-Ing.)
    Technical University of Ilmenau
    Process Automation, Data Science, Machine Learning and Simulation
    Grade: Magna cum laude
    • Dissertation: Automation within the Process of Knowledge Discovery in Simulation Data
  • 2016.09 - 2019.08

    Ilmenau, Germany

    Master of Science
    Technical University of Ilmenau
    Industrial Engineering
    Grade: 1.3
    • Specialization: Supply chain management and manufacturing technology
    • Master thesis: Scagnostics mittels Deep Learning
  • 2012.10 - 2016.09

    Ilmenau, Germany

    Bachelor of Science
    Technical University of Ilmenau
    Industrial Engineering
    Grade: 2.3
    • Specialization: Mechanical engineering
    • Bachelor thesis: Discriminant analysis for forecasting nominal characteristics

Awards

  • 2025.05.07
    Best Poster Award
    Technical University of Ilmenau
    Awarded for the best poster presentation at the department conference.
  • 2023.12.07
    Best Paper Award Nominee
    Winter Simulation Conference
    Nominated for best paper at the WSC.

Skills

Process analysis and automation
End-to-end process analysis with Gemba walks, SIPOC, and BPMN
Target-process and solution design
Lean methods, value-stream analysis, and work-sampling studies
Process automation with Microsoft Power Automate
Agile project management with Scrum
Customer workshops and stakeholder communication
Python
More than six years of regular use
Particularly for data analysis and visualization (Pandas, Matplotlib, Seaborn, NumPy)
Training machine learning models (Scikit-learn, TensorFlow, Keras, XGBoost)
Dashboard development (Plotly Dash, Streamlit)
Process automation and web application development
Databases and SQL
More than five years of experience with SQL-based data management
SQLAlchemy for database interaction in Python
SQLite for local database management
PostgreSQL for server-based database management
Other programming languages
JavaScript
Ruby
Java
R
CSS (and HTML)
Business intelligence, ERP, and engineering tools
Power BI, A/B testing, and association analysis
Microsoft Visio for process visualization with swimlanes
Odoo ERP configuration and customization
Foundational knowledge of SAP system landscapes and transaction interfaces
Foundational knowledge of Revit for layout and factory modeling
Docker and GitHub/GitLab
MS Office
Excel
Word
PowerPoint with Efficient Elements and think-cell
Simulation and modeling tools
AnyLogic
Siemens Plant Simulation
VisTable

Projects

  • 2024.10 - 2025.08
    SUNRISE
    EU-funded cooperation project. Dissemination of results on the application and development of an autograder in programming education at other universities within the Europe-wide project alliance
  • 2022.01 - 2025.08
    AutoPING
    AutoPING demonstrates how modern programming education can be made more efficient and practical through automated assessment systems such as CodeOcean. The project promotes digital, competence-oriented learning, AI integration, and modular critical testing scenarios—valuable impetus for the further development of teaching at TU Ilmenau and beyond.
    • Containerized automated assessment system
    • AI integration
    • Digital learning
    • Integration via the LMT interface
  • 2020.01 - 2021.12
    DaWiS
    The aim of the project was to transfer the method of knowledge discovery in simulation data, which had previously been considered mainly in academic case studies in the field of production and logistics, into practice. To this end, smart experiment design methods were evaluated and implemented, methods for the (cloud-based) distribution of experiments were developed, and suitable data mining and visual analytics methods were implemented. These methods were designed and implemented in an integrated platform.
    • Integrated into the commercial software SimAssist
    • Cloud-based execution of simulation experiments
    • Python interface developed for integration of Machine Learning methods

Languages

German
Native speaker
English
Fluent (C1)

Interests

Machine Learning and AI
Supervised Learning
Unsupervised Learning
Deep Learning
Natural Language Processing
XGBoost-Algorithm
Explainable AI
Generative AI
Large Language Models
Prompt Engineering
Data Visualization
Real‑time Visualization
Interactive Visualizations
Animated Visualizations
Dashboards
Data Storytelling
Data Science
A/B Testing
Big Data
Data Mining
Feature Engineering
Predictive Analytics
Sentiment Analysis
Personal interests
Handball
Fitness
Chess
Reading
Current developments in information technology

Volunteer

  • 2023.04 - Ongoing

    Erfurt, Germany

    Handball Player and Volunteer
    Wölfe Erfurt e.V.
    Handball player, helper in the elementary school league, and in other volunteer organization activities.
    • Advancing from the 'Landesliga' to the 'Oberliga' in the 2023/2024 season
  • 2018.04 - 2019.07

    Ilmenau, Germany

    Organizer
    Initiative Solidarische Welt Ilmenau (ISWI)
    Organization of workshops for students to exchange ideas about different cultures from around the world.