Shaig Hamzaliyev

Developing Python and Java codes for automating test cases for automotive industry.

Supporting the research on various data analysis tasks. Current project: Invesigation of the correlation between the Geophysical and Climate data (Data analysis, Data visualization, Statistics). Tools: Python, Matlab

Developing Python scripts for Geophysical research

Developing classification algorithms for LIDAR FWF.

Processing LIDAR FWF Data and creating Point Cloud. Extensive use of Python. Libraries has been used are : numpy, pandas laspy etc.

"Using satellite time series data to detect deformation rate in moderate moving landslides

The master's program focuses on the acquisition, processing, analysis and representation of spatial data and structures using remote sensing technologies and data processing methods. Relevant courses: Data science and statistics, Big data, Spatial data analysis with numerical methods, Advanced data analysis and programming (Machine/Deep Learning) Master thesis: "Reconstructing Ground surfaces from Lidar full-waveform"