Shaig Hamzaliyev
Abschluss: MSc, Universität Potsdam
Potsdam, Deutschland
Werdegang
Berufserfahrung von Shaig Hamzaliyev
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.
5 Monate, Sep. 2019 - Jan. 2020
Processing LIDAR FWF Data and creating Point Cloud by using Python.
Universität PotsdamProcessing LIDAR FWF Data and creating Point Cloud. Extensive use of Python. Libraries has been used are : numpy, pandas laspy etc.
2 Monate, März 2019 - Apr. 2019
Intern
Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum GFZ
"Using satellite time series data to detect deformation rate in moderate moving landslides
Ausbildung von Shaig Hamzaliyev
3 Jahre und 1 Monat, Okt. 2018 - Okt. 2021
Remote Sensing, geoInformation and Visualization
Universität Potsdam
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"
Sprachen
Englisch
Fließend
Türkisch
Fließend
Russisch
Gut
Deutsch
Grundlagen
Azerbaijani
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