Context: Detection and Identification of Roofs Surfaces and types- Enhanced the resolution of satellite images of African villages by building a CNN model using TensorFlow.- Extracted roofs from satellite images using building footprints database with Python GIS libraries.- Implemented K-means to label the roof images dataset and trained a CNN model to classify them.Keywords: CNN, GeoPandas, Satellite Images, ArcGIS, K-means, Tensorflow

Context: Development of a Worldwide Restaurant Database- Integrated OpenStreetMap data of all restaurants of the world into PostgreSQL by designing a data pipeline.- Enriched the database by web scraping details from Google Maps and Google Images using Selenium.- Automated the data insertion and web scraping process to meet the needs of WeMiam.- Deployed the achieved work on WeMiam's AWS production server by dockerizing the application.Keywords: OpenStreetMap, Selenium, BeautifulSoup, PostgreSQL, AWS, Docker, Python

Context: Customer Support Engineer- Worked with a team of 3 engineers and technicians to assist on average 10 clients on a daily basis- Troubleshot internet connection issues related to IP-MSAN, sub-distributors and modem- Acquired customer service skills by communicating with more than 200 clients during the internship