I worked on the project titled "Supervised Classification of crops by Machine Learning (ML) Algorithmsusing Sentinel-2 and Planet High-resolution Imagery".My main responsibilities were Data downloading, Data Annotation, Data Cleaning, Sentinel-2 pre-processing in SNAP software, Supervised Classification of crops in QGIS using Orfeo Toolbox, Automation of Data downloading, Data pre-processing, and Calculating different vegetation indices by Sentinel hub API.

During this tenure, I did these projects:1. Orthomosaic creation of NEOM City, Saudi Arabia, and Dubai Municipal Transportation, Dubai, UAEMy responsibilities were working on imageries of Pleiades (1A &1B) for orthomosaic creation using cutline and different color balancing techniques in a PCI CATALYST environment.2. Habitat Mapping of Neom city, Saudi ArabiaMy responsibilities were to improve the Machine Learning Algorithm of detailed supervised classification of LULC features using orthomosaic imageries of Pleiades (1A &1B).3. Improving Machine Learning Algorithm for Satellite Air Quality Model (SAQM)I Trained dataset creation of different vehicle classes and manual classification using satellite imageries to improve the machine learning algorithm of the Satellite Air Quality Model (SAQM)

I was working on the project titled "Cadastral Mapping of Lahore and Karachi (Zone A& B).My main responsibilities were Digitization, Identifying topological errors and their solution, Spatial Join,Georeferencing, Data Scraping from Google earth to complete Landuse, Identifying encroachment by surveying and comparing the society layouts, Managing Spatial data, Making maps to identify anomalies, Managing attribute data using different queries, and Calculating statistics in Excel.