Omar Tawfik is a data scientist with a strong background in advanced analytics machine learning and economic analysis. He is currently completing his Masters in Data Science at the University of Maryland where his work bridges data science with applied economics and labor market research. Omar brings professional experience from Booz Allen Hamilton and industry roles where he has led initiatives in ETL architecture dashboard development fraud detection using NLP and large scale data processing. He also has extensive experience in economic and workforce analysis including employment trends compensation structures and forecasting models that support strategic planning and data driven decision making. Across every role he focuses on delivering accurate insights improving operational efficiency and translating complex technical work into meaningful business impact.