Ayham Treter

Grade: 2.0 -Masters degree devoted to research in machine learning and data mining. The main expertise is the development of machine learning models and respective learning and inference algorithms for supervised problems with complex data. -Master Thesis was a large-scale study comparing SOTA point prediction models with probabilistic approaches. This work highlights when probabilistic architectures can serve as powerful, unified alternatives for real-world decision-making.

- Achieved Cloud Practitioner & Associate Solutions Architect Certificate within 1 month to reduce costs. - Developed a cloud migration plan, assisted in the migration process to reduce costs by 10%. - Cloud migration plan included VPC's, CIDR, subnets and POC phase 1

- Scrapped posts and hand label the collected data. - Applied Techniques for keywords and also conducted correlation analysis. - Trained DNN models to the dataset to get insights and assisted the graduate students with the result.

Implemented a full backend course application the company was developing for a client using Django.

Assisted Developing a user-friendly application for a client using Kotlin.

3.50/4.0 GPA