Resume Computer Science Engineer in Qatar Doha

IETR, Institute of Electronics and Digital Technologies -UMR CNRS- Machine Learning Intern with a focus in WireLess communication systems [End of Studies Internship] – Developed a constrained unfolded neural network for MIMO channel estimation by mimicking the architecture of an autoencoder. – Utilized PyTorch to implement a model-based end-to-end learning strategy to jointly estimate the channel and select the most appropriate precoder in a hybrid MIMO system. – Employed physical models for efficient model initialization and training, resulting in a Mean Squared Error of 3%. Applicare.ai, Inc Machine Learning R&D Intern – Used a large medical database comprising 40,000+ patients to implement a novel digital health approach aiming to identify early stroke warning signs using the digital biomarkers extracted from continuous vital signs data. – Achieved a recall rate of 80% by using the Bidirectional LSTM model on the preprocessed data. GTI, Financial software Machine Learning Intern – Utilized Python to implement supervised machine learning techniques for credit classification records at Attijari Bank, for improved decision-making process. – Collaborated with cross-functional team to implement a variety of machine learning algorithms and presented weekly advancements. Talan, Innovation Factory Department Artificial Intelligence Intern – Leveraged BERT to develop an intent recognition chatbot achieving an accuracy of 83%. – Attended multiple workshops and worked in a team adapted to SCRUM methodology

National Institute of Applied Sciences and Technology Major in Computer Networks and Telecommunications, Minor in Image and Video Processing Relevant coursework: Machine Learning, Deep Learning, Big Data, DevOps, Statistics.

Programming languages: Python, SQL, C, C++, Java, JavaScript. Machine learning & Data Viz: Python (eg. Numpy, Pandas, MatplotLib, Sickit-learn), TensorFlow, Keras, Pytorch, OpenCV, Power BI. Environments: Visual Studio IDE, Google Collab, Anaconda (Jupyter Notebook), Microsoft Azure. Miscellaneous Technologies: Linux, Git, Excel, Docker.

Arabic English

Amira, a motivated computer science engineer seeking an entry-level position where I can apply my robust technical skills and keen analytical abilities. With a solid foundation in programming languages such as Python and C++, I have successfully completed various projects that demonstrate my problem-solving aptitude and attention to detail. Additionally, I am skilled in machine learning, having worked on projects involving data analysis, model building, and algorithm optimization. In addition to my technical prowess, I possess a strong proficiency in English with a toeic certification [820/990], enabling me to communicate complex ideas clearly both in written and verbal forms. My eagerness to learn and adapt, combined with my teamwork and leadership experiences, makes me an excellent candidate for a dynamic and innovative tech environment.