My name is Pascal. I'm a student in Machine Learning and Data Analytics always looking for exciting Data Science projects. Feel free to check out some of my projects, learn more about me or to connect.
When I was doing my bachelor program at Aalen University in the field of Internet of Things, I discovered my passion for the subject area of Data Science. Since then, I have been trying to expand my knowledge in this area. Fortunately for me, I was already able to prove my knowledge in some real-world use cases in industry.
I really enjoy the field of Machine Learning. I was also able to learn a lot about this during my studies. As an intern and bachelor student at BMW and as a working student at Mercedes-Benz, I was already able to improve exciting tasks using common machine learning and deep learning approaches.
Since I got more involved with Machine Learning, I know how important it is to have a good database. I really like to learn new use cases to be able to generate new knowledge from existing data. Recently, I have gained more experience with processing big amounts of data, which allows me to face new challenges.
Due to the large volumes of data, the path to Cloud Computing is usually unavoidable. Nevertheless, I find the topic of Edge Computing and a hybrid solution for both technologies very interesting. In my opinion, my bachelor's degree in Internet of Things prepared me very well for this.
I have also been interested in minimalist design and web development a lot since I started my studies. Hopefully my website reflects these interests. Especially in the field of Data Science it is inevitable to visualize new knowledge in a suitable way. A perfect field of work for me.
In the following you will find a few projects of mine, which I have worked on in my spare time or in the context of a study subject. I have deliberately chosen projects from different fields to reflect my versatile insights into a wide variety of topics. However, my current focus is on Data Science projects.
Evaluation of DL on spectrograms and scalograms as well as proposal of XAI method.
Interactive web app for exploring Grad-CAM and perturbation based on ImageNet data.
Implementation of technical indicators for interpreting stocks based on historic data.
Natural language processing of IMDb movies to identify genre based on plot summaries.
Web-based quiz to display questions with content and track scores.
Django web application for prediction of most similar dog breed based on selfie.
Analytics and visualization of shootings in New York published by NYPD.
Data analytics of WhatsApp group chat activity based on group members
CNN model training for detection of fruit images based on CIFAR-100 data.
Head unit application for situation dependent selection of charging station.
Data visualization project during bachelor studies based on web technologies.