seif eldin hegab

I’m a motivated Data Analyst and Data Scientist focused on transforming data into actionable business insights. I combine analytics reporting with predictive modeling and NLP to help teams make faster, better decisions.

At WorldPanel by Numerator, I delivered monthly consumer analytics reports for clients in Spain and Portugal, improving reporting efficiency while ensuring high data quality, validation, and timely delivery. I also built and supported monthly database updates for four African countries using Bentaho ETL, along with updating demographic and quality-control interview scripts.

On the modeling side, I’ve developed and evaluated real-world systems and machine learning workflows, including a real-time robbery and fire detection project using YOLO and CNN models (with AUC scores of 96% and 94%). I also built an Arabic sentiment analysis deep learning model using LSTM and Transformer models, reaching a top 37 rank on Kaggle with 81.54% accuracy.

I hold a Bachelor’s degree in Computer Science from Ain Shams University, and I’ve strengthened my foundation through IBM Data Science Professional Certificate and Coursera’s Generative AI for Data Scientists specialization. I enjoy working with teams to align on consistent data definitions and reporting standards.