sara Abdelghany

• Engineered and fine‑tuned advanced NLP models for entity recognition, multilingual translation, text generation, and
toxic comment classification, using transformers such as BART and RNN‑based architectures.
• Implemented YOLOv5 and CycleGAN models for custom object detection and image generation, achieving high
accuracy in various real‑world applications.
• Constructed and trained deep learning models for facial emotion recognition and applied data augmentation
techniques to improve model performance.
• Leveraged tools like Evidently for model monitoring and drift detection, ensuring consistent results in machine learning
pipelines, such as bike‑sharing demand prediction.

• Gained foundational knowledge in Python programming, and SQL for data analysis and Big Data management.
• Acquired hands‑on experience in Python for data analysis, mastering data structures, functions, and libraries.
• Obtained practical skills with Hadoop platforms (HDFS, Zookeeper) and tools like pandas and scikit‑learn for data
processing.