Johannes Berner

Ich zeige eine vielfältige Kompetenz in Forschung 🔬 und Entwicklung 🧠. Als promovierter Physiker mit Erfahrung in Data Science sowie Laser- und Messtechnik erstreckt sich mein facettenreicher Hintergrund über Datenwissenschaft 📊, maschinelles Lernen 🤖 und statistische Analyse 📉.

DATA SCIENTIST – AI-ENGINEER (SENIOR) / adesso SE, Nuremberg

Jan. 2024 – Present

Analyze, design, and implement AI opportunities with external stakeholders to promote data-driven digital transformation. Some selected projects include: Creating an AI strategy within the energy sector, Identifying and implementing AI opportunities for the security sector, Developing an LLM-based Tender Offer Scan.

• AI-Strategy
• Concept / Architecture development
• MLOps
• Statistical analysis
• Deep learning (Computer Vision)
• Data visualization
• LLM Use Cases
• Cloud technologies
• Student Lead: Data Science

DATA SCIENTIST – AI-ENGINEER (TEAM LEAD) / Ancud IT, Nuremberg

Oct. 2021 – Dez. 2023

Analyze, design, and implement AI opportunities with external stakeholders to promote data driven digital transformation. Some selected (research) projects: Predictive maintenance in a production line, build up a factory OS for easy AI implementation at a production line, sensor data fusion and sensor calibration for autonomous driving and flying, traffic simulation using reinforcement learning. Integration of LLM in AI driven applications. Since February 2022 team lead of a group of eight Data Scientists.

• Concept / Architecture development
• ETL
• EDA
• MLOps
• Statistical analysis
• Deep learning (Computer Vision)
• Machine Learning (Predictive maintenance / anomaly detection / clustering)
• Data visualization
• Integration of LLM in AI use cases
• Cloud technologies

PROBLEM SOLVER CONSULTANT / Allianz, Stuttgart

Sep. 2020 – Sep. 2021

Research and brainstorm with internal stakeholders to identify advanced analytics opportunities to gain insights from data, help with knowledge discovery, streamline business processes, and enable new capabilities. Development of new algorithms to solve business-related problems using data-driven techniques.

• Actuarial modelling
• Dimensionality reduction / cluster analysis
• Data visualization
• Accounting

STUDENT ASSISTANCE / Fraunhofer ISC, Bayreuth

Sep. 2014 – Mar. 2015

Research assistant for characterizing high temperature materials.

Stability measurements, data analysis, measurement report

RESEARCHER (PhD) / University of Konstanz at AG Bechinger

Oct. 2015 - Aug. 2020 (from Oct. 2015 – Sep 2017 in University of Stuttgart at AG Bechinger)

Magna Cum Laude 
Developing statistical models to detect anomalies and uncover unexpected patterns and associations by designing, building, and using an optical laser setup and methods of statistical physics.

• Statistics & Analytics: Out-of-Equilibrium Problems, Data Mining, ETL, Big Data Programming Tools, Anomaly Detection.
• Design, construction, programming, and operation of an optical laser setup (optical tweezer); during measurements, multiple control and measurement processes must be precisely synchronized.

PhD in Statistical Physics / University of Konstanz at AG Bechinger

Oct. 2015 - Aug. 2020 (from Oct. 2015 – Sep 2017 in University of Stuttgart at AG Bechinger)

Magna Cum Laude 
Developing statistical models to detect anomalies and uncover unexpected patterns and associations by designing, building, and using an optical laser setup and methods of statistical physics.

• Statistics & Analytics: Out-of-Equilibrium Problems, Data Mining, ETL, Big Data Programming Tools, Anomaly Detection.
• Design, construction, programming, and operation of an optical laser setup (optical tweezer); during measurements, multiple control and measurement processes must be precisely synchronized.

Master of Physics / University of Bayreut­h

Oct. 2013 –Sep. 2015 

• Statistics: Out-of-Equilibrium Problems, Phase Transitions

Bachelor of Physics / University of Bayreuth

Oct. 2010- Aug. 2013

• Statistics: Front-line Interactions, Phase Transitions