Utilized Google Earth Engine to develop Google Cloud functions for vegetative index calculations, GeoTIFF index prescriptions in GeoJSON, and time series data retrieval

Executed GIS algorithms like overlay analysis on GeoTIFF files using Google Earth Engine

Integrated visualization of GeoTIFF data into the company's GIS platform using Google Earth Engine, previously created with Google Maps and JavaScript SDK under Angular 2

Project demonstrates a condition-based maintenance (CBM) system layout with code examples to effectively process Sentinel data for scrutinizing aid applications related to agricultural policies.

European Commission Joint Research Center has developed a cloud infrastructure solution for its CBM using exclusively open-source elements.

The developed CAP monitoring service is utilized by several EU member states including Denmark, Portugal, Spain, Belgium, Germany, and France.

Specializes in profile writing for developers and optimizing profiles

Built tool on Python to extract WGS84 coordinates from Open Street Maps using Nominatim and GeoPy libraries

Suggested enhancements include implementing duplicate checks and incorporating an approximation for handling unknown addresses

The tool generates a multi-band GeoTIFF with a 20m resolution for a Sentinel-2 level 2A tile from any TOI between 2020 and 2022.

The output is trimmed to match the provided AOI extent in .geojson format.

It includes a variety of post-processing images such as a multi-band .tif file, a natural color .tif file, a false-color .tif file, and an Scl .tif file that represents classifications based on the sentinel color scale.

Project focuses on enhancing the Data Analyst Portfolio through an end-to-end data analytics project.

Implementation of Git for efficient project management and Jupyter Notebook for presenting discoveries will be done.

Project aims at attaining proficiency in data analytics workflows.

GeoPandas is a project aiming to add geographic data support into pandas objects, currently featuring GeoSeries and GeoDataFrame types as subclass of pandas.

GeoPandas operates on shapely geometric objects for geometric operations, supporting transformation of coordinate systems using the to_crs() method.

The contributor's work involved integrating methods from shapely into GeoSeries and GeoDataFrame.

Djangovet is a Django web application utilizing pre-built templates and a SQLite DB.

Djangovet includes custom-made models, views, forms, authentication, and logout functionalities.

The application is deployed and accessible via https://simoparmeg.pythonanywhere.com/admin/.

Djangodelights is a Python/Django application for effective restaurant inventory management. Front-of-house users can view menus, manage customer orders while admins have extensive capabilities like modifying dishes, monitoring ingredient inventory, and analyzing profit/loss.

Two types of users are supported - 'front-of-house' and 'admin'. While both can view the menu and manage customer orders, only admins can modify the menu, handle stock, and analyze profits.

The application provides detailed food inventory features such as adjusting recipes, purchasing ingredients, editing stock quantities, and analyzing dish popularity, exclusively available for admin users.