I'm Lorenzo Carlassara, Mathematical Engineer and Geoinformatics Engineering Master's candidate at Politecnico di Milano, currently at the University of Bonn, Germany.

Welcome to my GitHub profile!

Interested in:

• Machine Learning and Deep Learning algorithms and methods
• Earth Observation and Remote Sensing
• Health and environmental sustainability

Also, I am a sportsman person, enthusiast in discovering new places, I really like cooking and listening to music.

• Programming Languages: Python, R, MATLAB, JavaScript, SQL, C
• Libraries: PyTorch, Keras, TensorFlow, Qiskit, Botorch, kernlab, caret, e1071
• Frameworks & Technologies:
  • GIS Software: Google Earth Engine, QGIS, ArcGIS;
  • Databases: PostGreSQL, PostGIS, pgAdmin, Geoserver, Apache;
  • Front-End: HTML5, CSS3;

• Problem Solving: Analytical Thinking, Algorithmic Approach, Debugging and Troubleshooting, Collaborative Solutions, & Continuous Learning
• Version Control: Git & GitHub
• Languages: English (C1), Italian (C2)

I enjoy working on challenging tasks that allow me to explore new concepts. Here are my pinned projects, be sure to check out:

• earth-observation-for-fire-mapping assess burn severity indexes for fire mapping using multispectral satellite imagery
• multiclass-logistic-regression-model for cardiovascular heart disease prediction
• se4geo-lab development of an interactive application for air pollution monitoring
• an2dl-image-classification Deep Learning: transfer learning approach with the ConvNeXtLarge model
• gis-lab-website landslide susceptibility map website for geohazard risk assessment
• mfbo-method is an efficient method for reducing uncertainty using multi fidelity and Bayesian optimization with a general overview of possible acquisition functions (rewritten for Torch Functional API).