Viktoria Seidemann Email & Phone Number

As a Business Informatics graduate, I am enthusiastic about gaining crucial insights out of data to support decision-making processes. During my studies, I was educated in the field of business science as well as data science. Therefore, I learned to combine business understanding and decision science with the state-of-the-art technologies in data analysis. I have proficiency in machine learning, predictive analytics, decision analysis, controlling, and accounting. Since I love to take up challenges, I am constantly looking for ways to gain new knowledge and experience.To get hands-on skills in machine learning with Python, I successfully developed a sentiment analysis based on recurrent neural networks. Additionally, as part of my academic thesis, I researched automatic speech recognition systems for German-English code-switched speech. This included the development of an attention-based neural network to transcribe German-English mixed speech input into written output.Currently, I focus on the application of computer vision solutions for optical quality inspections. To support the training process of computer vision models, I investigate the creation and usage of synthetic data with NVIDIA Omniverse. In addition, I gained hands-on experience in robotics and NVIDIA's Isaac Sim to visualize digital twins and control cobots.I am a result-oriented and hard-working person who is keen to progress my career. I am passionate to enhance my learning and assessments to maximize my opportunities throughout my professional progression.

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  Dresden University Of Technology

  Business Informatics