Abdallah Hanandeh

Constructed computer vision algorithms for emotion recognition, dress code identification, and age estimation. Implemented NLP models to recognize intents and sentiments in customer’s and agent’s conversations. Developed predictive models for workforce forecasting. Built a model for Arabic language dialect detection. Utilized Transformers, TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, SpaCy, NLTK and OpenCV libraries in developing these AI solutions. Managed the Data Annotation team, overseeing tasks such as transcription, image annotation, and text labeling. Developed internship program to provide hands-on experience in AI and machine learning for interns. Resolved high-impact technical challenges, significantly impacting customer experience with Azure's products and services. Employed Docker to containerize AI engines and softwares for efficient deployment and scalability.

Provided data-driven insights into business processes and operations. Analyzed key performance indicators, generated process documentation, and recommended efficiency improvements. Created process documentation and flowcharts. Worked with internal stakeholders to ensure accurate data collection and reporting. Participated in meetings to discuss business operations and process improvement.