Summary
Abeer Abuzayed is a Data Scientist with nine years of experience who combines academic rigor—MSc in Data Science from the University of Sheffield and published Arabic NLP research—with hands-on ML production work across startups and research groups. She has driven AI strategy and model development at SalesDash/Revic AI, boosting model accuracy by 40%, and currently applies her expertise at Mozn. Her core strengths lie in Arabic NLP and text-focused modeling (including sarcasm detection and topic modeling using BERT and BERTopic), and she’s recently branched into computer vision for Arabic content. Comfortable with PyTorch, Hugging Face, and LLM integration, she bridges research and product needs to deliver practical, data-driven solutions. An unexpected thread through her career is a consistent focus on adapting cutting-edge language techniques to underrepresented Arabic datasets, turning academic insight into measurable business impact.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MSc Data Science, Master of Science - MSc Data Science at The University of Sheffield
Bachelor of Engineering Computer Engineering, Bachelor of Engineering Computer Engineering at iugaza
Computer Science, Computer Science at University of Glasgow
Arabic, English