I am happy to advise and support you in your data science and geoinformatics projects. In addition to technical and strategic advice, I analyze your data sets, visualize the results and develop interdisciplinary tools for automatic information processing with machine learning and deep learning methods.
I use Python, R, SQL, Tableau and Power BI for data analysis and visualization. In addition to processing, I would also be happy to supplement your data with additional data records. Based on my analysis and the final presentation, you can then make data-driven decisions.
I use machine learning algorithms (machine learning / deep learning) to automatically evaluate data sets. Application examples include face recognition, segmentation of image data, speech recognition and also the classification of tabular data. I develop this automation with the Python libraries Numpy, Scikit-learn, Pytorch and Tensorflow.
Raster and vector data that are collected by satellites, for example, can supplement existing data with information about the geosphere. I use Python, SQL, GIS and specific remote sensing software for the preparation, analysis and visualization of geospatial data. If large amounts of data are to be classified or segmented, for example landscape changes based on satellite data, I use machine learning and deep learning methods.
I combine data science with my research experience in the fields of quaternary science, geomorphology, geography and geoinformatics. I would be happy to develop interdisciplinary tools for you.