Jonas Gebhardt Email
Machine Learning Engineer @ AristanderAI
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Jonas Gebhardt Location
- Berlin, DE
Jonas Gebhardt Work
- Machine Learning Engineer @ (February 2025 - Present)
- Supply Chain Lead @ (September 2023 - February 2024)
- Supply Chain Manager @ (October 2022 - September 2023)
- DACH Supply Chain Manager @ (June 2022 - August 2022)
- Global Supply Chain and Logistics Associate @ (January 2022 - June 2022)
- Global Senior Supply Chain and Logistics Analyst @ (September 2021 - January 2022)
- Global Junior Supply Chain and Logistics Analyst @ (June 2021 - September 2021)
- Consultant Internship @ (April 2019 - July 2019)
- Working Student @ (July 2018 - March 2019)
- Intern at Operational Management of the Material Control of the Plant Logistics @ (October 2016 - April 2017)
- Business Development Intern @ (January 2015 - March 2015)
Jonas Gebhardt Education
- Le Wagon
Data Science & AI Bootcamp (9-weeks full-time with 400 hours of intensive hands-on training to learn * Data Science with Python * Data Analytics with SQL, Pandas, Numpy, and Matplotlib and Seaborn; Statistics with Scipy and Statsmodels; * Machine Learning with Scikit-learn; Deep Learning with TensorFlow Keras; * MLOps with Docker, MLflow, Google Cloud and Streamlit Completed a team project; designing, coding and deploying a time series model to forecast sales for next 28 days of three Walmart stores in the US)
2024-2024 - Technische Universität Berlin
Master of Science - MS (Wirtschaftsingenieurwesen (Engineering and Management))
2017-2021 - University of Sydney
Exchange Semester
2019-2019 - Karlsruhe Institute of Technology (KIT)
Bachelor of Science - BS (Wirtschaftsingenieurwesen (Engineering and Management))
2012-2017 - Stellenbosch University
Semester Abroad (Semester Abroad)
2014-2014
Jonas Gebhardt Summary
- Jonas Gebhardt, based in Berlin, DE, is currently a Machine Learning Engineer at AristanderAI. Jonas Gebhardt brings experience from previous roles at Milano Vice, MILANO VICE and Gorillas. Jonas Gebhardt holds a 2024 - 2024 Data Science & AI Bootcamp in 9-weeks full-time with 400 hours of intensive hands-on training to learn * Data Science with Python * Data Analytics with SQL, Pandas, Numpy, and Matplotlib and Seaborn; Statistics with Scipy and Statsmodels; * Machine Learning with Scikit-learn; Deep Learning with TensorFlow Keras; * MLOps with Docker, MLflow, Google Cloud and Streamlit Completed a team project; designing, coding and deploying a time series model to forecast sales for next 28 days of three Walmart stores in the US @ Le Wagon. Jonas Gebhardt has 1 emails on RocketReach.
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