Jan Sokolowski
Bissen
Summary
Results-driven Mathematician with expertise from IEE S.A., specializing in machine learning and algorithm development. Successfully enhanced data analysis through advanced mathematical models, improving decision-making and profitability. Proven collaborator, effectively working with engineers and scientists to tackle complex real-world challenges. Strong analytical skills combined with a commitment to innovative solutions.
Overview
6
6
years of professional experience
Work History
Mathematician
IEE S.A.
04.2022 - Current
- Advised on data collection methodologies that led to more accurate insights into customer behavior patterns and preferences.
- Enhanced company data analysis by developing and applying advanced mathematical models.
- Result Collaborate with engineers and scientists to apply mathematical methods in solving real-world problems, leading to improved products and solutions.
- Developed complex financial models for forecasting, guiding company decision-making and increasing profitability.
Associate Scientist
IEE S.A.
10.2018 - 03.2022
- Worked with cross-functional project teams to support productions of [Type].
- Maintained a safe and organized laboratory environment by adhering to best practices for chemical handling and waste disposal.
- Managed multiple projects simultaneously, demonstrating exceptional time management skills while maintaining high levels of accuracy.
- Led training sessions on lab equipment usage for new hires, promoting a culture of continuous learning within the team.
Education
Dr. Rer. Nat. - Applied Mathematics
University of Trier
Trier03-2022
Master of Science - Business Mathematics
University of Trier
Trier09-2018
Bachelor of Science - Business Mathematics
University of Trier
Trier02-2017
Skills
- Machine learning
- Algorithm development
- Mathematical programming
- Optimization techniques
- Numerical analysis
- Mathematics and statistics
- Data modeling
- Nonlinear dynamics
Collaborations
Industrial Theses Supervision
- (2022) Maximilian Klein: "Transforming Automated Optical Inspection in Industrial Applications: Advanced Deep Learning through Transfer Learning and Data Augmentation", Master of Science, Trier University of Applied Sciences, Academic Supervisor: Prof. Dr. Ernst-Georg Haffner
- (2022) Marius Tuschl: "Automated optimization of 2D arrangements in a production process: Application of Reinforcement Learning and Policy Gradient Methods", Master of Science, Trier University of Applied Sciences, Academic Supervisor: Prof. Dr. Hans-Peter Beise
- (2022) Alex Lawou-Meli: "Application of 2D irregular shape packing problem for sensor manufacturing", Master of Science, University of Luxembourg, Academic Supervisor: Dr. Jack S. Hale
- (2022) Ahmed Baahmed: "Anomaly Detection for Time-Series: Deep Learning Approaches", Master of Science, University of Luxembourg, Academic Supervisor: Prof. Dr. Ivan Nourdin
- (2021) Pin Zhu: "Alternating Minimization Methods for efficient training of Deep Neural Network's parameters", Master of Science, University of Luxembourg, Academic Supervisor: Prof. Dr. Christoph Schommer
- (2019) Martin Hollweck: "Sensorfusion basiernd auf gekoppelten neurnalen Netzen", Bachelor of Science, Nuremberg Institute of Technology Georg Simon Ohm, Academic Supervisor: Prof. Dr. Peter Jonas
Research Projects
- (2019 - 2022) Associate member at the Graduate Research Training Group on Algorithmic Optimization (ALOP) at the University of Trier
- (2019 - 2021) Project FaSiMo at Trier University of Applied Sciences with Prof. Dr. Jörn Schneider
Languages
English
Advanced (C1)
German
Bilingual or Proficient (C2)
Timeline
Mathematician
IEE S.A.
04.2022 - Current
Associate Scientist
IEE S.A.
10.2018 - 03.2022
Dr. Rer. Nat. - Applied Mathematics
University of Trier
Master of Science - Business Mathematics
University of Trier
Bachelor of Science - Business Mathematics
University of Trier
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