mehmet akif ortak

- Work closely with IT team and business analysts to drive implementation/adoption of business solutions - Created Python library to find and reformat data from external vendors. - Developed and maintained data pipeline, ingesting data across difference sources using Python, Docker and AWS Serverless. - Responsible for developing and deploying API, server and database solutions on AWS. - Developing and deploying object detection(Detectron) REST-API with Django.

- Created Python scripts for data and model preparation. - Data testing and validation for the ecosystem service ARIES. - Created API using Django-Rest Framework for ecosystem service. With this API, users can reach Amazon's open-source satellite repository and they can create a new index file(image processing). - Tested and created suggestions on possible and/or required changes in the other parts of the projects, including the programming and the design

Geospatial Database Systems and Data Analysis, image classification and creating mosaics using satellite images from Airbus (Spot, Pleiades) Crop classification using CNN approach with Keras. Object detection from satellite images use SSD approach(Tensorflow) Publishing high resolution satellite imagery online by using open source platforms Scheduling the satellite pass and controlling the process during and after, including image production and Image Archiving Management for Airbus Satellites

DESIGN OF THE AUTOMATED WEB BASED DATA ANALYSIS SYSTEM COMPONENTS https://github.com/orttak/master_thesis